diff options
Diffstat (limited to 'contrib/llvm-project/clang/lib/Driver/ToolChains/Cuda.cpp')
-rw-r--r-- | contrib/llvm-project/clang/lib/Driver/ToolChains/Cuda.cpp | 656 |
1 files changed, 369 insertions, 287 deletions
diff --git a/contrib/llvm-project/clang/lib/Driver/ToolChains/Cuda.cpp b/contrib/llvm-project/clang/lib/Driver/ToolChains/Cuda.cpp index d14776c5f5ba..1462576ca870 100644 --- a/contrib/llvm-project/clang/lib/Driver/ToolChains/Cuda.cpp +++ b/contrib/llvm-project/clang/lib/Driver/ToolChains/Cuda.cpp @@ -8,23 +8,25 @@ #include "Cuda.h" #include "CommonArgs.h" -#include "InputInfo.h" #include "clang/Basic/Cuda.h" #include "clang/Config/config.h" #include "clang/Driver/Compilation.h" #include "clang/Driver/Distro.h" #include "clang/Driver/Driver.h" #include "clang/Driver/DriverDiagnostic.h" +#include "clang/Driver/InputInfo.h" #include "clang/Driver/Options.h" -#include "llvm/ADT/Optional.h" +#include "llvm/ADT/StringExtras.h" #include "llvm/Option/ArgList.h" #include "llvm/Support/FileSystem.h" -#include "llvm/Support/Host.h" +#include "llvm/Support/FormatAdapters.h" +#include "llvm/Support/FormatVariadic.h" #include "llvm/Support/Path.h" #include "llvm/Support/Process.h" #include "llvm/Support/Program.h" -#include "llvm/Support/TargetParser.h" #include "llvm/Support/VirtualFileSystem.h" +#include "llvm/TargetParser/Host.h" +#include "llvm/TargetParser/TargetParser.h" #include <system_error> using namespace clang::driver; @@ -34,25 +36,6 @@ using namespace clang; using namespace llvm::opt; namespace { -struct CudaVersionInfo { - std::string DetectedVersion; - CudaVersion Version; -}; -// Parses the contents of version.txt in an CUDA installation. It should -// contain one line of the from e.g. "CUDA Version 7.5.2". -CudaVersionInfo parseCudaVersionFile(llvm::StringRef V) { - V = V.trim(); - if (!V.startswith("CUDA Version ")) - return {V.str(), CudaVersion::UNKNOWN}; - V = V.substr(strlen("CUDA Version ")); - SmallVector<StringRef,4> VersionParts; - V.split(VersionParts, '.'); - return {"version.txt: " + V.str() + ".", - VersionParts.size() < 2 - ? CudaVersion::UNKNOWN - : CudaStringToVersion( - join_items(".", VersionParts[0], VersionParts[1]))}; -} CudaVersion getCudaVersion(uint32_t raw_version) { if (raw_version < 7050) @@ -75,15 +58,39 @@ CudaVersion getCudaVersion(uint32_t raw_version) { return CudaVersion::CUDA_102; if (raw_version < 11010) return CudaVersion::CUDA_110; - return CudaVersion::LATEST; + if (raw_version < 11020) + return CudaVersion::CUDA_111; + if (raw_version < 11030) + return CudaVersion::CUDA_112; + if (raw_version < 11040) + return CudaVersion::CUDA_113; + if (raw_version < 11050) + return CudaVersion::CUDA_114; + if (raw_version < 11060) + return CudaVersion::CUDA_115; + if (raw_version < 11070) + return CudaVersion::CUDA_116; + if (raw_version < 11080) + return CudaVersion::CUDA_117; + if (raw_version < 11090) + return CudaVersion::CUDA_118; + if (raw_version < 12010) + return CudaVersion::CUDA_120; + if (raw_version < 12020) + return CudaVersion::CUDA_121; + if (raw_version < 12030) + return CudaVersion::CUDA_122; + if (raw_version < 12040) + return CudaVersion::CUDA_123; + return CudaVersion::NEW; } -CudaVersionInfo parseCudaHFile(llvm::StringRef Input) { +CudaVersion parseCudaHFile(llvm::StringRef Input) { // Helper lambda which skips the words if the line starts with them or returns - // None otherwise. + // std::nullopt otherwise. auto StartsWithWords = [](llvm::StringRef Line, - const SmallVector<StringRef, 3> words) -> llvm::Optional<StringRef> { + const SmallVector<StringRef, 3> words) -> std::optional<StringRef> { for (StringRef word : words) { if (!Line.consume_front(word)) return {}; @@ -98,21 +105,27 @@ CudaVersionInfo parseCudaHFile(llvm::StringRef Input) { StartsWithWords(Input.ltrim(), {"#", "define", "CUDA_VERSION"})) { uint32_t RawVersion; Line->consumeInteger(10, RawVersion); - return {"cuda.h: CUDA_VERSION=" + Twine(RawVersion).str() + ".", - getCudaVersion(RawVersion)}; + return getCudaVersion(RawVersion); } // Find next non-empty line. Input = Input.drop_front(Input.find_first_of("\n\r")).ltrim(); } - return {"cuda.h: CUDA_VERSION not found.", CudaVersion::UNKNOWN}; + return CudaVersion::UNKNOWN; } } // namespace void CudaInstallationDetector::WarnIfUnsupportedVersion() { - if (DetectedVersionIsNotSupported) - D.Diag(diag::warn_drv_unknown_cuda_version) - << DetectedVersion - << CudaVersionToString(CudaVersion::LATEST_SUPPORTED); + if (Version > CudaVersion::PARTIALLY_SUPPORTED) { + std::string VersionString = CudaVersionToString(Version); + if (!VersionString.empty()) + VersionString.insert(0, " "); + D.Diag(diag::warn_drv_new_cuda_version) + << VersionString + << (CudaVersion::PARTIALLY_SUPPORTED != CudaVersion::FULLY_SUPPORTED) + << CudaVersionToString(CudaVersion::PARTIALLY_SUPPORTED); + } else if (Version > CudaVersion::FULLY_SUPPORTED) + D.Diag(diag::warn_drv_partially_supported_cuda_version) + << CudaVersionToString(Version); } CudaInstallationDetector::CudaInstallationDetector( @@ -191,44 +204,17 @@ CudaInstallationDetector::CudaInstallationDetector( if (CheckLibDevice && !FS.exists(LibDevicePath)) continue; - // On Linux, we have both lib and lib64 directories, and we need to choose - // based on our triple. On MacOS, we have only a lib directory. - // - // It's sufficient for our purposes to be flexible: If both lib and lib64 - // exist, we choose whichever one matches our triple. Otherwise, if only - // lib exists, we use it. - if (HostTriple.isArch64Bit() && FS.exists(InstallPath + "/lib64")) - LibPath = InstallPath + "/lib64"; - else if (FS.exists(InstallPath + "/lib")) - LibPath = InstallPath + "/lib"; - else - continue; - - CudaVersionInfo VersionInfo = {"", CudaVersion::UNKNOWN}; - if (auto VersionFile = FS.getBufferForFile(InstallPath + "/version.txt")) - VersionInfo = parseCudaVersionFile((*VersionFile)->getBuffer()); - // If version file didn't give us the version, try to find it in cuda.h - if (VersionInfo.Version == CudaVersion::UNKNOWN) - if (auto CudaHFile = FS.getBufferForFile(InstallPath + "/include/cuda.h")) - VersionInfo = parseCudaHFile((*CudaHFile)->getBuffer()); - // As the last resort, make an educated guess between CUDA-7.0, (which had - // no version.txt file and had old-style libdevice bitcode ) and an unknown - // recent CUDA version (no version.txt, new style bitcode). - if (VersionInfo.Version == CudaVersion::UNKNOWN) { - VersionInfo.Version = (FS.exists(LibDevicePath + "/libdevice.10.bc")) - ? Version = CudaVersion::LATEST - : Version = CudaVersion::CUDA_70; - VersionInfo.DetectedVersion = - "No version found in version.txt or cuda.h."; + Version = CudaVersion::UNKNOWN; + if (auto CudaHFile = FS.getBufferForFile(InstallPath + "/include/cuda.h")) + Version = parseCudaHFile((*CudaHFile)->getBuffer()); + // As the last resort, make an educated guess between CUDA-7.0, which had + // old-style libdevice bitcode, and an unknown recent CUDA version. + if (Version == CudaVersion::UNKNOWN) { + Version = FS.exists(LibDevicePath + "/libdevice.10.bc") + ? CudaVersion::NEW + : CudaVersion::CUDA_70; } - Version = VersionInfo.Version; - DetectedVersion = VersionInfo.DetectedVersion; - - // TODO(tra): remove the warning once we have all features of 10.2 - // and 11.0 implemented. - DetectedVersionIsNotSupported = Version > CudaVersion::LATEST_SUPPORTED; - if (Version >= CudaVersion::CUDA_90) { // CUDA-9+ uses single libdevice file for all GPU variants. std::string FilePath = LibDevicePath + "/libdevice.10.bc"; @@ -252,7 +238,7 @@ CudaInstallationDetector::CudaInstallationDetector( // Process all bitcode filenames that look like // libdevice.compute_XX.YY.bc const StringRef LibDeviceName = "libdevice."; - if (!(FileName.startswith(LibDeviceName) && FileName.endswith(".bc"))) + if (!(FileName.starts_with(LibDeviceName) && FileName.ends_with(".bc"))) continue; StringRef GpuArch = FileName.slice( LibDeviceName.size(), FileName.find('.', LibDeviceName.size())); @@ -317,8 +303,6 @@ void CudaInstallationDetector::AddCudaIncludeArgs( return; } - CC1Args.push_back("-internal-isystem"); - CC1Args.push_back(DriverArgs.MakeArgString(getIncludePath())); CC1Args.push_back("-include"); CC1Args.push_back("__clang_cuda_runtime_wrapper.h"); } @@ -393,18 +377,20 @@ void NVPTX::Assembler::ConstructJob(Compilation &C, const JobAction &JA, const ArgList &Args, const char *LinkingOutput) const { const auto &TC = - static_cast<const toolchains::CudaToolChain &>(getToolChain()); + static_cast<const toolchains::NVPTXToolChain &>(getToolChain()); assert(TC.getTriple().isNVPTX() && "Wrong platform"); StringRef GPUArchName; - // If this is an OpenMP action we need to extract the device architecture - // from the -march=arch option. This option may come from -Xopenmp-target - // flag or the default value. - if (JA.isDeviceOffloading(Action::OFK_OpenMP)) { + // If this is a CUDA action we need to extract the device architecture + // from the Job's associated architecture, otherwise use the -march=arch + // option. This option may come from -Xopenmp-target flag or the default + // value. + if (JA.isDeviceOffloading(Action::OFK_Cuda)) { + GPUArchName = JA.getOffloadingArch(); + } else { GPUArchName = Args.getLastArgValue(options::OPT_march_EQ); assert(!GPUArchName.empty() && "Must have an architecture passed in."); - } else - GPUArchName = JA.getOffloadingArch(); + } // Obtain architecture from the action. CudaArch gpu_arch = StringToCudaArch(GPUArchName); @@ -465,22 +451,38 @@ void NVPTX::Assembler::ConstructJob(Compilation &C, const JobAction &JA, CmdArgs.push_back("--gpu-name"); CmdArgs.push_back(Args.MakeArgString(CudaArchToString(gpu_arch))); CmdArgs.push_back("--output-file"); - CmdArgs.push_back(Args.MakeArgString(TC.getInputFilename(Output))); - for (const auto& II : Inputs) + std::string OutputFileName = TC.getInputFilename(Output); + + // If we are invoking `nvlink` internally we need to output a `.cubin` file. + // FIXME: This should hopefully be removed if NVIDIA updates their tooling. + if (!C.getInputArgs().getLastArg(options::OPT_c)) { + SmallString<256> Filename(Output.getFilename()); + llvm::sys::path::replace_extension(Filename, "cubin"); + OutputFileName = Filename.str(); + } + if (Output.isFilename() && OutputFileName != Output.getFilename()) + C.addTempFile(Args.MakeArgString(OutputFileName)); + + CmdArgs.push_back(Args.MakeArgString(OutputFileName)); + for (const auto &II : Inputs) CmdArgs.push_back(Args.MakeArgString(II.getFilename())); - for (const auto& A : Args.getAllArgValues(options::OPT_Xcuda_ptxas)) + for (const auto &A : Args.getAllArgValues(options::OPT_Xcuda_ptxas)) CmdArgs.push_back(Args.MakeArgString(A)); - bool Relocatable = false; + bool Relocatable; if (JA.isOffloading(Action::OFK_OpenMP)) // In OpenMP we need to generate relocatable code. Relocatable = Args.hasFlag(options::OPT_fopenmp_relocatable_target, options::OPT_fnoopenmp_relocatable_target, /*Default=*/true); else if (JA.isOffloading(Action::OFK_Cuda)) - Relocatable = Args.hasFlag(options::OPT_fgpu_rdc, - options::OPT_fno_gpu_rdc, /*Default=*/false); + // In CUDA we generate relocatable code by default. + Relocatable = Args.hasFlag(options::OPT_fgpu_rdc, options::OPT_fno_gpu_rdc, + /*Default=*/false); + else + // Otherwise, we are compiling directly and should create linkable output. + Relocatable = true; if (Relocatable) CmdArgs.push_back("-c"); @@ -516,11 +518,11 @@ static bool shouldIncludePTX(const ArgList &Args, const char *gpu_arch) { // All inputs to this linker must be from CudaDeviceActions, as we need to look // at the Inputs' Actions in order to figure out which GPU architecture they // correspond to. -void NVPTX::Linker::ConstructJob(Compilation &C, const JobAction &JA, - const InputInfo &Output, - const InputInfoList &Inputs, - const ArgList &Args, - const char *LinkingOutput) const { +void NVPTX::FatBinary::ConstructJob(Compilation &C, const JobAction &JA, + const InputInfo &Output, + const InputInfoList &Inputs, + const ArgList &Args, + const char *LinkingOutput) const { const auto &TC = static_cast<const toolchains::CudaToolChain &>(getToolChain()); assert(TC.getTriple().isNVPTX() && "Wrong platform"); @@ -534,7 +536,7 @@ void NVPTX::Linker::ConstructJob(Compilation &C, const JobAction &JA, if (mustEmitDebugInfo(Args) == EmitSameDebugInfoAsHost) CmdArgs.push_back("-g"); - for (const auto& II : Inputs) { + for (const auto &II : Inputs) { auto *A = II.getAction(); assert(A->getInputs().size() == 1 && "Device offload action is expected to have a single input"); @@ -551,11 +553,12 @@ void NVPTX::Linker::ConstructJob(Compilation &C, const JobAction &JA, const char *Arch = (II.getType() == types::TY_PP_Asm) ? CudaArchToVirtualArchString(gpu_arch) : gpu_arch_str; - CmdArgs.push_back(Args.MakeArgString(llvm::Twine("--image=profile=") + - Arch + ",file=" + II.getFilename())); + CmdArgs.push_back( + Args.MakeArgString(llvm::Twine("--image=profile=") + Arch + + ",file=" + getToolChain().getInputFilename(II))); } - for (const auto& A : Args.getAllArgValues(options::OPT_Xcuda_fatbinary)) + for (const auto &A : Args.getAllArgValues(options::OPT_Xcuda_fatbinary)) CmdArgs.push_back(Args.MakeArgString(A)); const char *Exec = Args.MakeArgString(TC.GetProgramPath("fatbinary")); @@ -566,36 +569,31 @@ void NVPTX::Linker::ConstructJob(Compilation &C, const JobAction &JA, Exec, CmdArgs, Inputs, Output)); } -void NVPTX::OpenMPLinker::ConstructJob(Compilation &C, const JobAction &JA, - const InputInfo &Output, - const InputInfoList &Inputs, - const ArgList &Args, - const char *LinkingOutput) const { +void NVPTX::Linker::ConstructJob(Compilation &C, const JobAction &JA, + const InputInfo &Output, + const InputInfoList &Inputs, + const ArgList &Args, + const char *LinkingOutput) const { const auto &TC = - static_cast<const toolchains::CudaToolChain &>(getToolChain()); - assert(TC.getTriple().isNVPTX() && "Wrong platform"); - + static_cast<const toolchains::NVPTXToolChain &>(getToolChain()); ArgStringList CmdArgs; - // OpenMP uses nvlink to link cubin files. The result will be embedded in the - // host binary by the host linker. - assert(!JA.isHostOffloading(Action::OFK_OpenMP) && - "CUDA toolchain not expected for an OpenMP host device."); + assert(TC.getTriple().isNVPTX() && "Wrong platform"); + assert((Output.isFilename() || Output.isNothing()) && "Invalid output."); if (Output.isFilename()) { CmdArgs.push_back("-o"); CmdArgs.push_back(Output.getFilename()); - } else - assert(Output.isNothing() && "Invalid output."); + } + if (mustEmitDebugInfo(Args) == EmitSameDebugInfoAsHost) CmdArgs.push_back("-g"); if (Args.hasArg(options::OPT_v)) CmdArgs.push_back("-v"); - StringRef GPUArch = - Args.getLastArgValue(options::OPT_march_EQ); - assert(!GPUArch.empty() && "At least one GPU Arch required for ptxas."); + StringRef GPUArch = Args.getLastArgValue(options::OPT_march_EQ); + assert(!GPUArch.empty() && "At least one GPU Arch required for nvlink."); CmdArgs.push_back("-arch"); CmdArgs.push_back(Args.MakeArgString(GPUArch)); @@ -606,14 +604,12 @@ void NVPTX::OpenMPLinker::ConstructJob(Compilation &C, const JobAction &JA, // Add paths for the default clang library path. SmallString<256> DefaultLibPath = llvm::sys::path::parent_path(TC.getDriver().Dir); - llvm::sys::path::append(DefaultLibPath, "lib" CLANG_LIBDIR_SUFFIX); + llvm::sys::path::append(DefaultLibPath, CLANG_INSTALL_LIBDIR_BASENAME); CmdArgs.push_back(Args.MakeArgString(Twine("-L") + DefaultLibPath)); for (const auto &II : Inputs) { - if (II.getType() == types::TY_LLVM_IR || - II.getType() == types::TY_LTO_IR || - II.getType() == types::TY_LTO_BC || - II.getType() == types::TY_LLVM_BC) { + if (II.getType() == types::TY_LLVM_IR || II.getType() == types::TY_LTO_IR || + II.getType() == types::TY_LTO_BC || II.getType() == types::TY_LLVM_BC) { C.getDriver().Diag(diag::err_drv_no_linker_llvm_support) << getToolChain().getTripleString(); continue; @@ -624,56 +620,179 @@ void NVPTX::OpenMPLinker::ConstructJob(Compilation &C, const JobAction &JA, if (!II.isFilename()) continue; - const char *CubinF = C.addTempFile( - C.getArgs().MakeArgString(getToolChain().getInputFilename(II))); + // The 'nvlink' application performs RDC-mode linking when given a '.o' + // file and device linking when given a '.cubin' file. We always want to + // perform device linking, so just rename any '.o' files. + // FIXME: This should hopefully be removed if NVIDIA updates their tooling. + auto InputFile = getToolChain().getInputFilename(II); + if (llvm::sys::path::extension(InputFile) != ".cubin") { + // If there are no actions above this one then this is direct input and we + // can copy it. Otherwise the input is internal so a `.cubin` file should + // exist. + if (II.getAction() && II.getAction()->getInputs().size() == 0) { + const char *CubinF = + Args.MakeArgString(getToolChain().getDriver().GetTemporaryPath( + llvm::sys::path::stem(InputFile), "cubin")); + if (llvm::sys::fs::copy_file(InputFile, C.addTempFile(CubinF))) + continue; - CmdArgs.push_back(CubinF); + CmdArgs.push_back(CubinF); + } else { + SmallString<256> Filename(InputFile); + llvm::sys::path::replace_extension(Filename, "cubin"); + CmdArgs.push_back(Args.MakeArgString(Filename)); + } + } else { + CmdArgs.push_back(Args.MakeArgString(InputFile)); + } } - const char *Exec = - Args.MakeArgString(getToolChain().GetProgramPath("nvlink")); C.addCommand(std::make_unique<Command>( JA, *this, ResponseFileSupport{ResponseFileSupport::RF_Full, llvm::sys::WEM_UTF8, "--options-file"}, - Exec, CmdArgs, Inputs, Output)); + Args.MakeArgString(getToolChain().GetProgramPath("nvlink")), CmdArgs, + Inputs, Output)); } -/// CUDA toolchain. Our assembler is ptxas, and our "linker" is fatbinary, -/// which isn't properly a linker but nonetheless performs the step of stitching -/// together object files from the assembler into a single blob. +void NVPTX::getNVPTXTargetFeatures(const Driver &D, const llvm::Triple &Triple, + const llvm::opt::ArgList &Args, + std::vector<StringRef> &Features) { + if (Args.hasArg(options::OPT_cuda_feature_EQ)) { + StringRef PtxFeature = + Args.getLastArgValue(options::OPT_cuda_feature_EQ, "+ptx42"); + Features.push_back(Args.MakeArgString(PtxFeature)); + return; + } + CudaInstallationDetector CudaInstallation(D, Triple, Args); -CudaToolChain::CudaToolChain(const Driver &D, const llvm::Triple &Triple, - const ToolChain &HostTC, const ArgList &Args, - const Action::OffloadKind OK) - : ToolChain(D, Triple, Args), HostTC(HostTC), - CudaInstallation(D, HostTC.getTriple(), Args), OK(OK) { - if (CudaInstallation.isValid()) { - CudaInstallation.WarnIfUnsupportedVersion(); - getProgramPaths().push_back(std::string(CudaInstallation.getBinPath())); + // New CUDA versions often introduce new instructions that are only supported + // by new PTX version, so we need to raise PTX level to enable them in NVPTX + // back-end. + const char *PtxFeature = nullptr; + switch (CudaInstallation.version()) { +#define CASE_CUDA_VERSION(CUDA_VER, PTX_VER) \ + case CudaVersion::CUDA_##CUDA_VER: \ + PtxFeature = "+ptx" #PTX_VER; \ + break; + CASE_CUDA_VERSION(123, 83); + CASE_CUDA_VERSION(122, 82); + CASE_CUDA_VERSION(121, 81); + CASE_CUDA_VERSION(120, 80); + CASE_CUDA_VERSION(118, 78); + CASE_CUDA_VERSION(117, 77); + CASE_CUDA_VERSION(116, 76); + CASE_CUDA_VERSION(115, 75); + CASE_CUDA_VERSION(114, 74); + CASE_CUDA_VERSION(113, 73); + CASE_CUDA_VERSION(112, 72); + CASE_CUDA_VERSION(111, 71); + CASE_CUDA_VERSION(110, 70); + CASE_CUDA_VERSION(102, 65); + CASE_CUDA_VERSION(101, 64); + CASE_CUDA_VERSION(100, 63); + CASE_CUDA_VERSION(92, 61); + CASE_CUDA_VERSION(91, 61); + CASE_CUDA_VERSION(90, 60); +#undef CASE_CUDA_VERSION + default: + PtxFeature = "+ptx42"; } + Features.push_back(PtxFeature); +} + +/// NVPTX toolchain. Our assembler is ptxas, and our linker is nvlink. This +/// operates as a stand-alone version of the NVPTX tools without the host +/// toolchain. +NVPTXToolChain::NVPTXToolChain(const Driver &D, const llvm::Triple &Triple, + const llvm::Triple &HostTriple, + const ArgList &Args, bool Freestanding = false) + : ToolChain(D, Triple, Args), CudaInstallation(D, HostTriple, Args), + Freestanding(Freestanding) { + if (CudaInstallation.isValid()) + getProgramPaths().push_back(std::string(CudaInstallation.getBinPath())); // Lookup binaries into the driver directory, this is used to - // discover the clang-offload-bundler executable. + // discover the 'nvptx-arch' executable. getProgramPaths().push_back(getDriver().Dir); } -std::string CudaToolChain::getInputFilename(const InputInfo &Input) const { - // Only object files are changed, for example assembly files keep their .s - // extensions. CUDA also continues to use .o as they don't use nvlink but - // fatbinary. - if (!(OK == Action::OFK_OpenMP && Input.getType() == types::TY_Object)) - return ToolChain::getInputFilename(Input); +/// We only need the host triple to locate the CUDA binary utilities, use the +/// system's default triple if not provided. +NVPTXToolChain::NVPTXToolChain(const Driver &D, const llvm::Triple &Triple, + const ArgList &Args) + : NVPTXToolChain(D, Triple, llvm::Triple(LLVM_HOST_TRIPLE), Args, + /*Freestanding=*/true) {} - // Replace extension for object files with cubin because nvlink relies on - // these particular file names. - SmallString<256> Filename(ToolChain::getInputFilename(Input)); - llvm::sys::path::replace_extension(Filename, "cubin"); - return std::string(Filename.str()); +llvm::opt::DerivedArgList * +NVPTXToolChain::TranslateArgs(const llvm::opt::DerivedArgList &Args, + StringRef BoundArch, + Action::OffloadKind DeviceOffloadKind) const { + DerivedArgList *DAL = + ToolChain::TranslateArgs(Args, BoundArch, DeviceOffloadKind); + if (!DAL) + DAL = new DerivedArgList(Args.getBaseArgs()); + + const OptTable &Opts = getDriver().getOpts(); + + for (Arg *A : Args) + if (!llvm::is_contained(*DAL, A)) + DAL->append(A); + + if (!DAL->hasArg(options::OPT_march_EQ)) + DAL->AddJoinedArg(nullptr, Opts.getOption(options::OPT_march_EQ), + CudaArchToString(CudaArch::CudaDefault)); + + return DAL; +} + +void NVPTXToolChain::addClangTargetOptions( + const llvm::opt::ArgList &DriverArgs, llvm::opt::ArgStringList &CC1Args, + Action::OffloadKind DeviceOffloadingKind) const { + // If we are compiling with a standalone NVPTX toolchain we want to try to + // mimic a standard environment as much as possible. So we enable lowering + // ctor / dtor functions to global symbols that can be registered. + if (Freestanding) + CC1Args.append({"-mllvm", "--nvptx-lower-global-ctor-dtor"}); } +bool NVPTXToolChain::supportsDebugInfoOption(const llvm::opt::Arg *A) const { + const Option &O = A->getOption(); + return (O.matches(options::OPT_gN_Group) && + !O.matches(options::OPT_gmodules)) || + O.matches(options::OPT_g_Flag) || + O.matches(options::OPT_ggdbN_Group) || O.matches(options::OPT_ggdb) || + O.matches(options::OPT_gdwarf) || O.matches(options::OPT_gdwarf_2) || + O.matches(options::OPT_gdwarf_3) || O.matches(options::OPT_gdwarf_4) || + O.matches(options::OPT_gdwarf_5) || + O.matches(options::OPT_gcolumn_info); +} + +void NVPTXToolChain::adjustDebugInfoKind( + llvm::codegenoptions::DebugInfoKind &DebugInfoKind, + const ArgList &Args) const { + switch (mustEmitDebugInfo(Args)) { + case DisableDebugInfo: + DebugInfoKind = llvm::codegenoptions::NoDebugInfo; + break; + case DebugDirectivesOnly: + DebugInfoKind = llvm::codegenoptions::DebugDirectivesOnly; + break; + case EmitSameDebugInfoAsHost: + // Use same debug info level as the host. + break; + } +} + +/// CUDA toolchain. Our assembler is ptxas, and our "linker" is fatbinary, +/// which isn't properly a linker but nonetheless performs the step of stitching +/// together object files from the assembler into a single blob. + +CudaToolChain::CudaToolChain(const Driver &D, const llvm::Triple &Triple, + const ToolChain &HostTC, const ArgList &Args) + : NVPTXToolChain(D, Triple, HostTC.getTriple(), Args), HostTC(HostTC) {} + void CudaToolChain::addClangTargetOptions( - const llvm::opt::ArgList &DriverArgs, - llvm::opt::ArgStringList &CC1Args, + const llvm::opt::ArgList &DriverArgs, llvm::opt::ArgStringList &CC1Args, Action::OffloadKind DeviceOffloadingKind) const { HostTC.addClangTargetOptions(DriverArgs, CC1Args, DeviceOffloadingKind); @@ -684,27 +803,26 @@ void CudaToolChain::addClangTargetOptions( "Only OpenMP or CUDA offloading kinds are supported for NVIDIA GPUs."); if (DeviceOffloadingKind == Action::OFK_Cuda) { - CC1Args.push_back("-fcuda-is-device"); - - if (DriverArgs.hasFlag(options::OPT_fcuda_approx_transcendentals, - options::OPT_fno_cuda_approx_transcendentals, false)) - CC1Args.push_back("-fcuda-approx-transcendentals"); - - if (DriverArgs.hasFlag(options::OPT_fgpu_rdc, options::OPT_fno_gpu_rdc, - false)) - CC1Args.push_back("-fgpu-rdc"); + CC1Args.append( + {"-fcuda-is-device", "-mllvm", "-enable-memcpyopt-without-libcalls"}); + + // Unsized function arguments used for variadics were introduced in CUDA-9.0 + // We still do not support generating code that actually uses variadic + // arguments yet, but we do need to allow parsing them as recent CUDA + // headers rely on that. https://github.com/llvm/llvm-project/issues/58410 + if (CudaInstallation.version() >= CudaVersion::CUDA_90) + CC1Args.push_back("-fcuda-allow-variadic-functions"); } if (DriverArgs.hasArg(options::OPT_nogpulib)) return; - std::string LibDeviceFile = CudaInstallation.getLibDeviceFile(GpuArch); + if (DeviceOffloadingKind == Action::OFK_OpenMP && + DriverArgs.hasArg(options::OPT_S)) + return; + std::string LibDeviceFile = CudaInstallation.getLibDeviceFile(GpuArch); if (LibDeviceFile.empty()) { - if (DeviceOffloadingKind == Action::OFK_OpenMP && - DriverArgs.hasArg(options::OPT_S)) - return; - getDriver().Diag(diag::err_drv_no_cuda_libdevice) << GpuArch; return; } @@ -712,93 +830,31 @@ void CudaToolChain::addClangTargetOptions( CC1Args.push_back("-mlink-builtin-bitcode"); CC1Args.push_back(DriverArgs.MakeArgString(LibDeviceFile)); - std::string CudaVersionStr; + clang::CudaVersion CudaInstallationVersion = CudaInstallation.version(); - // New CUDA versions often introduce new instructions that are only supported - // by new PTX version, so we need to raise PTX level to enable them in NVPTX - // back-end. - const char *PtxFeature = nullptr; - switch (CudaInstallation.version()) { -#define CASE_CUDA_VERSION(CUDA_VER, PTX_VER) \ - case CudaVersion::CUDA_##CUDA_VER: \ - CudaVersionStr = #CUDA_VER; \ - PtxFeature = "+ptx" #PTX_VER; \ - break; - CASE_CUDA_VERSION(110, 70); - CASE_CUDA_VERSION(102, 65); - CASE_CUDA_VERSION(101, 64); - CASE_CUDA_VERSION(100, 63); - CASE_CUDA_VERSION(92, 61); - CASE_CUDA_VERSION(91, 61); - CASE_CUDA_VERSION(90, 60); -#undef CASE_CUDA_VERSION - default: - // If unknown CUDA version, we take it as CUDA 8.0. Same assumption is also - // made in libomptarget/deviceRTLs. - CudaVersionStr = "80"; - PtxFeature = "+ptx42"; - } - CC1Args.append({"-target-feature", PtxFeature}); if (DriverArgs.hasFlag(options::OPT_fcuda_short_ptr, options::OPT_fno_cuda_short_ptr, false)) CC1Args.append({"-mllvm", "--nvptx-short-ptr"}); - if (CudaInstallation.version() >= CudaVersion::UNKNOWN) - CC1Args.push_back(DriverArgs.MakeArgString( - Twine("-target-sdk-version=") + - CudaVersionToString(CudaInstallation.version()))); + if (CudaInstallationVersion >= CudaVersion::UNKNOWN) + CC1Args.push_back( + DriverArgs.MakeArgString(Twine("-target-sdk-version=") + + CudaVersionToString(CudaInstallationVersion))); if (DeviceOffloadingKind == Action::OFK_OpenMP) { - SmallVector<StringRef, 8> LibraryPaths; - // Add user defined library paths from LIBRARY_PATH. - llvm::Optional<std::string> LibPath = - llvm::sys::Process::GetEnv("LIBRARY_PATH"); - if (LibPath) { - SmallVector<StringRef, 8> Frags; - const char EnvPathSeparatorStr[] = {llvm::sys::EnvPathSeparator, '\0'}; - llvm::SplitString(*LibPath, Frags, EnvPathSeparatorStr); - for (StringRef Path : Frags) - LibraryPaths.emplace_back(Path.trim()); + if (CudaInstallationVersion < CudaVersion::CUDA_92) { + getDriver().Diag( + diag::err_drv_omp_offload_target_cuda_version_not_support) + << CudaVersionToString(CudaInstallationVersion); + return; } - // Add path to lib / lib64 folder. - SmallString<256> DefaultLibPath = - llvm::sys::path::parent_path(getDriver().Dir); - llvm::sys::path::append(DefaultLibPath, Twine("lib") + CLANG_LIBDIR_SUFFIX); - LibraryPaths.emplace_back(DefaultLibPath.c_str()); - - // First check whether user specifies bc library - if (const Arg *A = - DriverArgs.getLastArg(options::OPT_libomptarget_nvptx_bc_path_EQ)) { - std::string LibOmpTargetName(A->getValue()); - if (llvm::sys::fs::exists(LibOmpTargetName)) { - CC1Args.push_back("-mlink-builtin-bitcode"); - CC1Args.push_back(DriverArgs.MakeArgString(LibOmpTargetName)); - } else { - getDriver().Diag(diag::err_drv_omp_offload_target_bcruntime_not_found) - << LibOmpTargetName; - } - } else { - bool FoundBCLibrary = false; - - std::string LibOmpTargetName = "libomptarget-nvptx-cuda_" + - CudaVersionStr + "-" + GpuArch.str() + - ".bc"; - - for (StringRef LibraryPath : LibraryPaths) { - SmallString<128> LibOmpTargetFile(LibraryPath); - llvm::sys::path::append(LibOmpTargetFile, LibOmpTargetName); - if (llvm::sys::fs::exists(LibOmpTargetFile)) { - CC1Args.push_back("-mlink-builtin-bitcode"); - CC1Args.push_back(DriverArgs.MakeArgString(LibOmpTargetFile)); - FoundBCLibrary = true; - break; - } - } - if (!FoundBCLibrary) - getDriver().Diag(diag::err_drv_omp_offload_target_missingbcruntime) - << LibOmpTargetName; - } + // Link the bitcode library late if we're using device LTO. + if (getDriver().isUsingLTO(/* IsOffload */ true)) + return; + + addOpenMPDeviceRTL(getDriver(), DriverArgs, CC1Args, GpuArch.str(), + getTriple()); } } @@ -807,9 +863,8 @@ llvm::DenormalMode CudaToolChain::getDefaultDenormalModeForType( const llvm::fltSemantics *FPType) const { if (JA.getOffloadingDeviceKind() == Action::OFK_Cuda) { if (FPType && FPType == &llvm::APFloat::IEEEsingle() && - DriverArgs.hasFlag(options::OPT_fcuda_flush_denormals_to_zero, - options::OPT_fno_cuda_flush_denormals_to_zero, - false)) + DriverArgs.hasFlag(options::OPT_fgpu_flush_denormals_to_zero, + options::OPT_fno_gpu_flush_denormals_to_zero, false)) return llvm::DenormalMode::getPreserveSign(); } @@ -817,33 +872,6 @@ llvm::DenormalMode CudaToolChain::getDefaultDenormalModeForType( return llvm::DenormalMode::getIEEE(); } -bool CudaToolChain::supportsDebugInfoOption(const llvm::opt::Arg *A) const { - const Option &O = A->getOption(); - return (O.matches(options::OPT_gN_Group) && - !O.matches(options::OPT_gmodules)) || - O.matches(options::OPT_g_Flag) || - O.matches(options::OPT_ggdbN_Group) || O.matches(options::OPT_ggdb) || - O.matches(options::OPT_gdwarf) || O.matches(options::OPT_gdwarf_2) || - O.matches(options::OPT_gdwarf_3) || O.matches(options::OPT_gdwarf_4) || - O.matches(options::OPT_gdwarf_5) || - O.matches(options::OPT_gcolumn_info); -} - -void CudaToolChain::adjustDebugInfoKind( - codegenoptions::DebugInfoKind &DebugInfoKind, const ArgList &Args) const { - switch (mustEmitDebugInfo(Args)) { - case DisableDebugInfo: - DebugInfoKind = codegenoptions::NoDebugInfo; - break; - case DebugDirectivesOnly: - DebugInfoKind = codegenoptions::DebugDirectivesOnly; - break; - case EmitSameDebugInfoAsHost: - // Use same debug info level as the host. - break; - } -} - void CudaToolChain::AddCudaIncludeArgs(const ArgList &DriverArgs, ArgStringList &CC1Args) const { // Check our CUDA version if we're going to include the CUDA headers. @@ -856,6 +884,19 @@ void CudaToolChain::AddCudaIncludeArgs(const ArgList &DriverArgs, CudaInstallation.AddCudaIncludeArgs(DriverArgs, CC1Args); } +std::string CudaToolChain::getInputFilename(const InputInfo &Input) const { + // Only object files are changed, for example assembly files keep their .s + // extensions. If the user requested device-only compilation don't change it. + if (Input.getType() != types::TY_Object || getDriver().offloadDeviceOnly()) + return ToolChain::getInputFilename(Input); + + // Replace extension for object files with cubin because nvlink relies on + // these particular file names. + SmallString<256> Filename(ToolChain::getInputFilename(Input)); + llvm::sys::path::replace_extension(Filename, "cubin"); + return std::string(Filename); +} + llvm::opt::DerivedArgList * CudaToolChain::TranslateArgs(const llvm::opt::DerivedArgList &Args, StringRef BoundArch, @@ -871,23 +912,27 @@ CudaToolChain::TranslateArgs(const llvm::opt::DerivedArgList &Args, // flags are not duplicated. // Also append the compute capability. if (DeviceOffloadKind == Action::OFK_OpenMP) { - for (Arg *A : Args) { - bool IsDuplicate = false; - for (Arg *DALArg : *DAL) { - if (A == DALArg) { - IsDuplicate = true; - break; + for (Arg *A : Args) + if (!llvm::is_contained(*DAL, A)) + DAL->append(A); + + if (!DAL->hasArg(options::OPT_march_EQ)) { + StringRef Arch = BoundArch; + if (Arch.empty()) { + auto ArchsOrErr = getSystemGPUArchs(Args); + if (!ArchsOrErr) { + std::string ErrMsg = + llvm::formatv("{0}", llvm::fmt_consume(ArchsOrErr.takeError())); + getDriver().Diag(diag::err_drv_undetermined_gpu_arch) + << llvm::Triple::getArchTypeName(getArch()) << ErrMsg << "-march"; + Arch = CudaArchToString(CudaArch::CudaDefault); + } else { + Arch = Args.MakeArgString(ArchsOrErr->front()); } } - if (!IsDuplicate) - DAL->append(A); + DAL->AddJoinedArg(nullptr, Opts.getOption(options::OPT_march_EQ), Arch); } - StringRef Arch = DAL->getLastArgValue(options::OPT_march_EQ); - if (Arch.empty()) - DAL->AddJoinedArg(nullptr, Opts.getOption(options::OPT_march_EQ), - CLANG_OPENMP_NVPTX_DEFAULT_ARCH); - return DAL; } @@ -897,19 +942,51 @@ CudaToolChain::TranslateArgs(const llvm::opt::DerivedArgList &Args, if (!BoundArch.empty()) { DAL->eraseArg(options::OPT_march_EQ); - DAL->AddJoinedArg(nullptr, Opts.getOption(options::OPT_march_EQ), BoundArch); + DAL->AddJoinedArg(nullptr, Opts.getOption(options::OPT_march_EQ), + BoundArch); } return DAL; } +Expected<SmallVector<std::string>> +CudaToolChain::getSystemGPUArchs(const ArgList &Args) const { + // Detect NVIDIA GPUs availible on the system. + std::string Program; + if (Arg *A = Args.getLastArg(options::OPT_nvptx_arch_tool_EQ)) + Program = A->getValue(); + else + Program = GetProgramPath("nvptx-arch"); + + auto StdoutOrErr = executeToolChainProgram(Program); + if (!StdoutOrErr) + return StdoutOrErr.takeError(); + + SmallVector<std::string, 1> GPUArchs; + for (StringRef Arch : llvm::split((*StdoutOrErr)->getBuffer(), "\n")) + if (!Arch.empty()) + GPUArchs.push_back(Arch.str()); + + if (GPUArchs.empty()) + return llvm::createStringError(std::error_code(), + "No NVIDIA GPU detected in the system"); + + return std::move(GPUArchs); +} + +Tool *NVPTXToolChain::buildAssembler() const { + return new tools::NVPTX::Assembler(*this); +} + +Tool *NVPTXToolChain::buildLinker() const { + return new tools::NVPTX::Linker(*this); +} + Tool *CudaToolChain::buildAssembler() const { return new tools::NVPTX::Assembler(*this); } Tool *CudaToolChain::buildLinker() const { - if (OK == Action::OFK_OpenMP) - return new tools::NVPTX::OpenMPLinker(*this); - return new tools::NVPTX::Linker(*this); + return new tools::NVPTX::FatBinary(*this); } void CudaToolChain::addClangWarningOptions(ArgStringList &CC1Args) const { @@ -924,6 +1001,11 @@ CudaToolChain::GetCXXStdlibType(const ArgList &Args) const { void CudaToolChain::AddClangSystemIncludeArgs(const ArgList &DriverArgs, ArgStringList &CC1Args) const { HostTC.AddClangSystemIncludeArgs(DriverArgs, CC1Args); + + if (!DriverArgs.hasArg(options::OPT_nogpuinc) && CudaInstallation.isValid()) + CC1Args.append( + {"-internal-isystem", + DriverArgs.MakeArgString(CudaInstallation.getIncludePath())}); } void CudaToolChain::AddClangCXXStdlibIncludeArgs(const ArgList &Args, |