1//===--- Cuda.cpp - Cuda Tool and ToolChain Implementations -----*- 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#include "Cuda.h"
10#include "clang/Basic/Cuda.h"
11#include "clang/Config/config.h"
12#include "clang/Driver/CommonArgs.h"
13#include "clang/Driver/Compilation.h"
14#include "clang/Driver/Distro.h"
15#include "clang/Driver/Driver.h"
16#include "clang/Driver/InputInfo.h"
17#include "clang/Driver/Options.h"
18#include "llvm/ADT/StringExtras.h"
19#include "llvm/Config/llvm-config.h" // for LLVM_HOST_TRIPLE
20#include "llvm/Option/ArgList.h"
21#include "llvm/Support/FileSystem.h"
22#include "llvm/Support/Path.h"
23#include "llvm/Support/Process.h"
24#include "llvm/Support/Program.h"
25#include "llvm/Support/VirtualFileSystem.h"
26#include "llvm/TargetParser/Host.h"
27#include "llvm/TargetParser/TargetParser.h"
28#include <system_error>
29
30using namespace clang::driver;
31using namespace clang::driver::toolchains;
32using namespace clang::driver::tools;
33using namespace clang;
34using namespace llvm::opt;
35
36namespace {
37
38CudaVersion getCudaVersion(uint32_t raw_version) {
39 if (raw_version < 7050)
40 return CudaVersion::CUDA_70;
41 if (raw_version < 8000)
42 return CudaVersion::CUDA_75;
43 if (raw_version < 9000)
44 return CudaVersion::CUDA_80;
45 if (raw_version < 9010)
46 return CudaVersion::CUDA_90;
47 if (raw_version < 9020)
48 return CudaVersion::CUDA_91;
49 if (raw_version < 10000)
50 return CudaVersion::CUDA_92;
51 if (raw_version < 10010)
52 return CudaVersion::CUDA_100;
53 if (raw_version < 10020)
54 return CudaVersion::CUDA_101;
55 if (raw_version < 11000)
56 return CudaVersion::CUDA_102;
57 if (raw_version < 11010)
58 return CudaVersion::CUDA_110;
59 if (raw_version < 11020)
60 return CudaVersion::CUDA_111;
61 if (raw_version < 11030)
62 return CudaVersion::CUDA_112;
63 if (raw_version < 11040)
64 return CudaVersion::CUDA_113;
65 if (raw_version < 11050)
66 return CudaVersion::CUDA_114;
67 if (raw_version < 11060)
68 return CudaVersion::CUDA_115;
69 if (raw_version < 11070)
70 return CudaVersion::CUDA_116;
71 if (raw_version < 11080)
72 return CudaVersion::CUDA_117;
73 if (raw_version < 11090)
74 return CudaVersion::CUDA_118;
75 if (raw_version < 12010)
76 return CudaVersion::CUDA_120;
77 if (raw_version < 12020)
78 return CudaVersion::CUDA_121;
79 if (raw_version < 12030)
80 return CudaVersion::CUDA_122;
81 if (raw_version < 12040)
82 return CudaVersion::CUDA_123;
83 if (raw_version < 12050)
84 return CudaVersion::CUDA_124;
85 if (raw_version < 12060)
86 return CudaVersion::CUDA_125;
87 if (raw_version < 12070)
88 return CudaVersion::CUDA_126;
89 if (raw_version < 12090)
90 return CudaVersion::CUDA_128;
91 return CudaVersion::NEW;
92}
93
94CudaVersion parseCudaHFile(llvm::StringRef Input) {
95 // Helper lambda which skips the words if the line starts with them or returns
96 // std::nullopt otherwise.
97 auto StartsWithWords =
98 [](llvm::StringRef Line,
99 const SmallVector<StringRef, 3> words) -> std::optional<StringRef> {
100 for (StringRef word : words) {
101 if (!Line.consume_front(Prefix: word))
102 return {};
103 Line = Line.ltrim();
104 }
105 return Line;
106 };
107
108 Input = Input.ltrim();
109 while (!Input.empty()) {
110 if (auto Line =
111 StartsWithWords(Input.ltrim(), {"#", "define", "CUDA_VERSION"})) {
112 uint32_t RawVersion;
113 Line->consumeInteger(Radix: 10, Result&: RawVersion);
114 return getCudaVersion(raw_version: RawVersion);
115 }
116 // Find next non-empty line.
117 Input = Input.drop_front(N: Input.find_first_of(Chars: "\n\r")).ltrim();
118 }
119 return CudaVersion::UNKNOWN;
120}
121} // namespace
122
123void CudaInstallationDetector::WarnIfUnsupportedVersion() const {
124 if (Version > CudaVersion::PARTIALLY_SUPPORTED) {
125 std::string VersionString = CudaVersionToString(V: Version);
126 if (!VersionString.empty())
127 VersionString.insert(pos: 0, s: " ");
128 D.Diag(diag::DiagID: warn_drv_new_cuda_version)
129 << VersionString
130 << (CudaVersion::PARTIALLY_SUPPORTED != CudaVersion::FULLY_SUPPORTED)
131 << CudaVersionToString(V: CudaVersion::PARTIALLY_SUPPORTED);
132 } else if (Version > CudaVersion::FULLY_SUPPORTED)
133 D.Diag(diag::DiagID: warn_drv_partially_supported_cuda_version)
134 << CudaVersionToString(V: Version);
135}
136
137CudaInstallationDetector::CudaInstallationDetector(
138 const Driver &D, const llvm::Triple &HostTriple,
139 const llvm::opt::ArgList &Args)
140 : D(D) {
141 struct Candidate {
142 std::string Path;
143 bool StrictChecking;
144
145 Candidate(std::string Path, bool StrictChecking = false)
146 : Path(Path), StrictChecking(StrictChecking) {}
147 };
148 SmallVector<Candidate, 4> Candidates;
149
150 // In decreasing order so we prefer newer versions to older versions.
151 std::initializer_list<const char *> Versions = {"8.0", "7.5", "7.0"};
152 auto &FS = D.getVFS();
153
154 if (Args.hasArg(clang::driver::options::OPT_cuda_path_EQ)) {
155 Candidates.emplace_back(
156 Args.getLastArgValue(clang::driver::options::Id: OPT_cuda_path_EQ).str());
157 } else if (HostTriple.isOSWindows()) {
158 for (const char *Ver : Versions)
159 Candidates.emplace_back(
160 Args: D.SysRoot + "/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v" +
161 Ver);
162 } else {
163 if (!Args.hasArg(clang::driver::options::OPT_cuda_path_ignore_env)) {
164 // Try to find ptxas binary. If the executable is located in a directory
165 // called 'bin/', its parent directory might be a good guess for a valid
166 // CUDA installation.
167 // However, some distributions might installs 'ptxas' to /usr/bin. In that
168 // case the candidate would be '/usr' which passes the following checks
169 // because '/usr/include' exists as well. To avoid this case, we always
170 // check for the directory potentially containing files for libdevice,
171 // even if the user passes -nocudalib.
172 if (llvm::ErrorOr<std::string> ptxas =
173 llvm::sys::findProgramByName(Name: "ptxas")) {
174 SmallString<256> ptxasAbsolutePath;
175 llvm::sys::fs::real_path(path: *ptxas, output&: ptxasAbsolutePath);
176
177 StringRef ptxasDir = llvm::sys::path::parent_path(path: ptxasAbsolutePath);
178 if (llvm::sys::path::filename(path: ptxasDir) == "bin")
179 Candidates.emplace_back(
180 Args: std::string(llvm::sys::path::parent_path(path: ptxasDir)),
181 /*StrictChecking=*/Args: true);
182 }
183 }
184
185 Candidates.emplace_back(Args: D.SysRoot + "/usr/local/cuda");
186 for (const char *Ver : Versions)
187 Candidates.emplace_back(Args: D.SysRoot + "/usr/local/cuda-" + Ver);
188
189 Distro Dist(FS, llvm::Triple(llvm::sys::getProcessTriple()));
190 if (Dist.IsDebian() || Dist.IsUbuntu())
191 // Special case for Debian to have nvidia-cuda-toolkit work
192 // out of the box. More info on http://bugs.debian.org/882505
193 Candidates.emplace_back(Args: D.SysRoot + "/usr/lib/cuda");
194 }
195
196 bool NoCudaLib =
197 !Args.hasFlag(options::OPT_offloadlib, options::OPT_no_offloadlib, true);
198
199 for (const auto &Candidate : Candidates) {
200 InstallPath = Candidate.Path;
201 if (InstallPath.empty() || !FS.exists(Path: InstallPath))
202 continue;
203
204 BinPath = InstallPath + "/bin";
205 IncludePath = InstallPath + "/include";
206 LibDevicePath = InstallPath + "/nvvm/libdevice";
207
208 if (!(FS.exists(Path: IncludePath) && FS.exists(Path: BinPath)))
209 continue;
210 bool CheckLibDevice = (!NoCudaLib || Candidate.StrictChecking);
211 if (CheckLibDevice && !FS.exists(Path: LibDevicePath))
212 continue;
213
214 Version = CudaVersion::UNKNOWN;
215 if (auto CudaHFile = FS.getBufferForFile(Name: InstallPath + "/include/cuda.h"))
216 Version = parseCudaHFile(Input: (*CudaHFile)->getBuffer());
217 // As the last resort, make an educated guess between CUDA-7.0, which had
218 // old-style libdevice bitcode, and an unknown recent CUDA version.
219 if (Version == CudaVersion::UNKNOWN) {
220 Version = FS.exists(Path: LibDevicePath + "/libdevice.10.bc")
221 ? CudaVersion::NEW
222 : CudaVersion::CUDA_70;
223 }
224
225 if (Version >= CudaVersion::CUDA_90) {
226 // CUDA-9+ uses single libdevice file for all GPU variants.
227 std::string FilePath = LibDevicePath + "/libdevice.10.bc";
228 if (FS.exists(Path: FilePath)) {
229 for (int Arch = (int)OffloadArch::SM_30, E = (int)OffloadArch::LAST;
230 Arch < E; ++Arch) {
231 OffloadArch OA = static_cast<OffloadArch>(Arch);
232 if (!IsNVIDIAOffloadArch(A: OA))
233 continue;
234 std::string OffloadArchName(OffloadArchToString(A: OA));
235 LibDeviceMap[OffloadArchName] = FilePath;
236 }
237 }
238 } else {
239 std::error_code EC;
240 for (llvm::vfs::directory_iterator LI = FS.dir_begin(Dir: LibDevicePath, EC),
241 LE;
242 !EC && LI != LE; LI = LI.increment(EC)) {
243 StringRef FilePath = LI->path();
244 StringRef FileName = llvm::sys::path::filename(path: FilePath);
245 // Process all bitcode filenames that look like
246 // libdevice.compute_XX.YY.bc
247 const StringRef LibDeviceName = "libdevice.";
248 if (!(FileName.starts_with(Prefix: LibDeviceName) && FileName.ends_with(Suffix: ".bc")))
249 continue;
250 StringRef GpuArch = FileName.slice(
251 Start: LibDeviceName.size(), End: FileName.find(C: '.', From: LibDeviceName.size()));
252 LibDeviceMap[GpuArch] = FilePath.str();
253 // Insert map entries for specific devices with this compute
254 // capability. NVCC's choice of the libdevice library version is
255 // rather peculiar and depends on the CUDA version.
256 if (GpuArch == "compute_20") {
257 LibDeviceMap["sm_20"] = std::string(FilePath);
258 LibDeviceMap["sm_21"] = std::string(FilePath);
259 LibDeviceMap["sm_32"] = std::string(FilePath);
260 } else if (GpuArch == "compute_30") {
261 LibDeviceMap["sm_30"] = std::string(FilePath);
262 if (Version < CudaVersion::CUDA_80) {
263 LibDeviceMap["sm_50"] = std::string(FilePath);
264 LibDeviceMap["sm_52"] = std::string(FilePath);
265 LibDeviceMap["sm_53"] = std::string(FilePath);
266 }
267 LibDeviceMap["sm_60"] = std::string(FilePath);
268 LibDeviceMap["sm_61"] = std::string(FilePath);
269 LibDeviceMap["sm_62"] = std::string(FilePath);
270 } else if (GpuArch == "compute_35") {
271 LibDeviceMap["sm_35"] = std::string(FilePath);
272 LibDeviceMap["sm_37"] = std::string(FilePath);
273 } else if (GpuArch == "compute_50") {
274 if (Version >= CudaVersion::CUDA_80) {
275 LibDeviceMap["sm_50"] = std::string(FilePath);
276 LibDeviceMap["sm_52"] = std::string(FilePath);
277 LibDeviceMap["sm_53"] = std::string(FilePath);
278 }
279 }
280 }
281 }
282
283 // Check that we have found at least one libdevice that we can link in if
284 // -nocudalib hasn't been specified.
285 if (LibDeviceMap.empty() && !NoCudaLib)
286 continue;
287
288 IsValid = true;
289 break;
290 }
291}
292
293void CudaInstallationDetector::AddCudaIncludeArgs(
294 const ArgList &DriverArgs, ArgStringList &CC1Args) const {
295 if (!DriverArgs.hasArg(options::OPT_nobuiltininc)) {
296 // Add cuda_wrappers/* to our system include path. This lets us wrap
297 // standard library headers.
298 SmallString<128> P(D.ResourceDir);
299 llvm::sys::path::append(path&: P, a: "include");
300 llvm::sys::path::append(path&: P, a: "cuda_wrappers");
301 CC1Args.push_back(Elt: "-internal-isystem");
302 CC1Args.push_back(Elt: DriverArgs.MakeArgString(Str: P));
303 }
304
305 if (DriverArgs.hasArg(options::OPT_nogpuinc))
306 return;
307
308 if (!isValid()) {
309 D.Diag(diag::DiagID: err_drv_no_cuda_installation);
310 return;
311 }
312
313 CC1Args.push_back(Elt: "-include");
314 CC1Args.push_back(Elt: "__clang_cuda_runtime_wrapper.h");
315}
316
317void CudaInstallationDetector::CheckCudaVersionSupportsArch(
318 OffloadArch Arch) const {
319 if (Arch == OffloadArch::UNKNOWN || Version == CudaVersion::UNKNOWN ||
320 ArchsWithBadVersion[(int)Arch])
321 return;
322
323 auto MinVersion = MinVersionForOffloadArch(A: Arch);
324 auto MaxVersion = MaxVersionForOffloadArch(A: Arch);
325 if (Version < MinVersion || Version > MaxVersion) {
326 ArchsWithBadVersion[(int)Arch] = true;
327 D.Diag(diag::DiagID: err_drv_cuda_version_unsupported)
328 << OffloadArchToString(A: Arch) << CudaVersionToString(V: MinVersion)
329 << CudaVersionToString(V: MaxVersion) << InstallPath
330 << CudaVersionToString(V: Version);
331 }
332}
333
334void CudaInstallationDetector::print(raw_ostream &OS) const {
335 if (isValid())
336 OS << "Found CUDA installation: " << InstallPath << ", version "
337 << CudaVersionToString(V: Version) << "\n";
338}
339
340namespace {
341/// Debug info level for the NVPTX devices. We may need to emit different debug
342/// info level for the host and for the device itselfi. This type controls
343/// emission of the debug info for the devices. It either prohibits disable info
344/// emission completely, or emits debug directives only, or emits same debug
345/// info as for the host.
346enum DeviceDebugInfoLevel {
347 DisableDebugInfo, /// Do not emit debug info for the devices.
348 DebugDirectivesOnly, /// Emit only debug directives.
349 EmitSameDebugInfoAsHost, /// Use the same debug info level just like for the
350 /// host.
351};
352} // anonymous namespace
353
354/// Define debug info level for the NVPTX devices. If the debug info for both
355/// the host and device are disabled (-g0/-ggdb0 or no debug options at all). If
356/// only debug directives are requested for the both host and device
357/// (-gline-directvies-only), or the debug info only for the device is disabled
358/// (optimization is on and --cuda-noopt-device-debug was not specified), the
359/// debug directves only must be emitted for the device. Otherwise, use the same
360/// debug info level just like for the host (with the limitations of only
361/// supported DWARF2 standard).
362static DeviceDebugInfoLevel mustEmitDebugInfo(const ArgList &Args) {
363 const Arg *A = Args.getLastArg(options::OPT_O_Group);
364 bool IsDebugEnabled = !A || A->getOption().matches(options::ID: OPT_O0) ||
365 Args.hasFlag(options::OPT_cuda_noopt_device_debug,
366 options::OPT_no_cuda_noopt_device_debug,
367 /*Default=*/false);
368 if (const Arg *A = Args.getLastArg(options::OPT_g_Group)) {
369 const Option &Opt = A->getOption();
370 if (Opt.matches(options::ID: OPT_gN_Group)) {
371 if (Opt.matches(options::ID: OPT_g0) || Opt.matches(options::ID: OPT_ggdb0))
372 return DisableDebugInfo;
373 if (Opt.matches(options::ID: OPT_gline_directives_only))
374 return DebugDirectivesOnly;
375 }
376 return IsDebugEnabled ? EmitSameDebugInfoAsHost : DebugDirectivesOnly;
377 }
378 return willEmitRemarks(Args) ? DebugDirectivesOnly : DisableDebugInfo;
379}
380
381void NVPTX::Assembler::ConstructJob(Compilation &C, const JobAction &JA,
382 const InputInfo &Output,
383 const InputInfoList &Inputs,
384 const ArgList &Args,
385 const char *LinkingOutput) const {
386 const auto &TC =
387 static_cast<const toolchains::NVPTXToolChain &>(getToolChain());
388 assert(TC.getTriple().isNVPTX() && "Wrong platform");
389
390 StringRef GPUArchName;
391 // If this is a CUDA action we need to extract the device architecture
392 // from the Job's associated architecture, otherwise use the -march=arch
393 // option. This option may come from -Xopenmp-target flag or the default
394 // value.
395 if (JA.isDeviceOffloading(OKind: Action::OFK_Cuda)) {
396 GPUArchName = JA.getOffloadingArch();
397 } else {
398 GPUArchName = Args.getLastArgValue(options::Id: OPT_march_EQ);
399 if (GPUArchName.empty()) {
400 C.getDriver().Diag(diag::DiagID: err_drv_offload_missing_gpu_arch)
401 << getToolChain().getArchName() << getShortName();
402 return;
403 }
404 }
405
406 // Obtain architecture from the action.
407 OffloadArch gpu_arch = StringToOffloadArch(S: GPUArchName);
408 assert(gpu_arch != OffloadArch::UNKNOWN &&
409 "Device action expected to have an architecture.");
410
411 // Check that our installation's ptxas supports gpu_arch.
412 if (!Args.hasArg(options::OPT_no_cuda_version_check)) {
413 TC.CudaInstallation.CheckCudaVersionSupportsArch(Arch: gpu_arch);
414 }
415
416 ArgStringList CmdArgs;
417 CmdArgs.push_back(Elt: TC.getTriple().isArch64Bit() ? "-m64" : "-m32");
418 DeviceDebugInfoLevel DIKind = mustEmitDebugInfo(Args);
419 if (DIKind == EmitSameDebugInfoAsHost) {
420 // ptxas does not accept -g option if optimization is enabled, so
421 // we ignore the compiler's -O* options if we want debug info.
422 CmdArgs.push_back(Elt: "-g");
423 CmdArgs.push_back(Elt: "--dont-merge-basicblocks");
424 CmdArgs.push_back(Elt: "--return-at-end");
425 } else if (Arg *A = Args.getLastArg(options::OPT_O_Group)) {
426 // Map the -O we received to -O{0,1,2,3}.
427 //
428 // TODO: Perhaps we should map host -O2 to ptxas -O3. -O3 is ptxas's
429 // default, so it may correspond more closely to the spirit of clang -O2.
430
431 // -O3 seems like the least-bad option when -Osomething is specified to
432 // clang but it isn't handled below.
433 StringRef OOpt = "3";
434 if (A->getOption().matches(options::ID: OPT_O4) ||
435 A->getOption().matches(options::ID: OPT_Ofast))
436 OOpt = "3";
437 else if (A->getOption().matches(options::ID: OPT_O0))
438 OOpt = "0";
439 else if (A->getOption().matches(options::ID: OPT_O)) {
440 // -Os, -Oz, and -O(anything else) map to -O2, for lack of better options.
441 OOpt = llvm::StringSwitch<const char *>(A->getValue())
442 .Case(S: "1", Value: "1")
443 .Case(S: "2", Value: "2")
444 .Case(S: "3", Value: "3")
445 .Case(S: "s", Value: "2")
446 .Case(S: "z", Value: "2")
447 .Default(Value: "2");
448 }
449 CmdArgs.push_back(Elt: Args.MakeArgString(Str: llvm::Twine("-O") + OOpt));
450 } else {
451 // If no -O was passed, pass -O0 to ptxas -- no opt flag should correspond
452 // to no optimizations, but ptxas's default is -O3.
453 CmdArgs.push_back(Elt: "-O0");
454 }
455 if (DIKind == DebugDirectivesOnly)
456 CmdArgs.push_back(Elt: "-lineinfo");
457
458 // Pass -v to ptxas if it was passed to the driver.
459 if (Args.hasArg(options::OPT_v))
460 CmdArgs.push_back(Elt: "-v");
461
462 CmdArgs.push_back(Elt: "--gpu-name");
463 CmdArgs.push_back(Elt: Args.MakeArgString(Str: OffloadArchToString(A: gpu_arch)));
464 CmdArgs.push_back(Elt: "--output-file");
465 std::string OutputFileName = TC.getInputFilename(Input: Output);
466
467 if (Output.isFilename() && OutputFileName != Output.getFilename())
468 C.addTempFile(Name: Args.MakeArgString(Str: OutputFileName));
469
470 CmdArgs.push_back(Elt: Args.MakeArgString(Str: OutputFileName));
471 for (const auto &II : Inputs)
472 CmdArgs.push_back(Elt: Args.MakeArgString(Str: II.getFilename()));
473
474 for (const auto &A : Args.getAllArgValues(options::OPT_Xcuda_ptxas))
475 CmdArgs.push_back(Args.MakeArgString(A));
476
477 bool Relocatable;
478 if (JA.isOffloading(OKind: Action::OFK_OpenMP))
479 // In OpenMP we need to generate relocatable code.
480 Relocatable = Args.hasFlag(options::OPT_fopenmp_relocatable_target,
481 options::OPT_fnoopenmp_relocatable_target,
482 /*Default=*/true);
483 else if (JA.isOffloading(OKind: Action::OFK_Cuda))
484 // In CUDA we generate relocatable code by default.
485 Relocatable = Args.hasFlag(options::OPT_fgpu_rdc, options::OPT_fno_gpu_rdc,
486 /*Default=*/false);
487 else
488 // Otherwise, we are compiling directly and should create linkable output.
489 Relocatable = true;
490
491 if (Relocatable)
492 CmdArgs.push_back(Elt: "-c");
493
494 const char *Exec;
495 if (Arg *A = Args.getLastArg(options::OPT_ptxas_path_EQ))
496 Exec = A->getValue();
497 else
498 Exec = Args.MakeArgString(Str: TC.GetProgramPath(Name: "ptxas"));
499 C.addCommand(C: std::make_unique<Command>(
500 args: JA, args: *this,
501 args: ResponseFileSupport{.ResponseKind: ResponseFileSupport::RF_Full, .ResponseEncoding: llvm::sys::WEM_UTF8,
502 .ResponseFlag: "--options-file"},
503 args&: Exec, args&: CmdArgs, args: Inputs, args: Output));
504}
505
506static bool shouldIncludePTX(const ArgList &Args, StringRef InputArch) {
507 // The new driver does not include PTX by default to avoid overhead.
508 bool includePTX = !Args.hasFlag(options::OPT_offload_new_driver,
509 options::OPT_no_offload_new_driver, true);
510 for (Arg *A : Args.filtered(options::OPT_cuda_include_ptx_EQ,
511 options::OPT_no_cuda_include_ptx_EQ)) {
512 A->claim();
513 const StringRef ArchStr = A->getValue();
514 if (A->getOption().matches(options::OPT_cuda_include_ptx_EQ) &&
515 (ArchStr == "all" || ArchStr == InputArch))
516 includePTX = true;
517 else if (A->getOption().matches(options::OPT_no_cuda_include_ptx_EQ) &&
518 (ArchStr == "all" || ArchStr == InputArch))
519 includePTX = false;
520 }
521 return includePTX;
522}
523
524// All inputs to this linker must be from CudaDeviceActions, as we need to look
525// at the Inputs' Actions in order to figure out which GPU architecture they
526// correspond to.
527void NVPTX::FatBinary::ConstructJob(Compilation &C, const JobAction &JA,
528 const InputInfo &Output,
529 const InputInfoList &Inputs,
530 const ArgList &Args,
531 const char *LinkingOutput) const {
532 const auto &TC =
533 static_cast<const toolchains::CudaToolChain &>(getToolChain());
534 assert(TC.getTriple().isNVPTX() && "Wrong platform");
535
536 ArgStringList CmdArgs;
537 if (TC.CudaInstallation.version() <= CudaVersion::CUDA_100)
538 CmdArgs.push_back(Elt: "--cuda");
539 CmdArgs.push_back(Elt: TC.getTriple().isArch64Bit() ? "-64" : "-32");
540 CmdArgs.push_back(Elt: Args.MakeArgString(Str: "--create"));
541 CmdArgs.push_back(Elt: Args.MakeArgString(Str: Output.getFilename()));
542 if (mustEmitDebugInfo(Args) == EmitSameDebugInfoAsHost)
543 CmdArgs.push_back(Elt: "-g");
544
545 for (const auto &II : Inputs) {
546 auto *A = II.getAction();
547 assert(A->getInputs().size() == 1 &&
548 "Device offload action is expected to have a single input");
549 const char *gpu_arch_str = A->getOffloadingArch();
550 assert(gpu_arch_str &&
551 "Device action expected to have associated a GPU architecture!");
552 OffloadArch gpu_arch = StringToOffloadArch(S: gpu_arch_str);
553
554 if (II.getType() == types::TY_PP_Asm &&
555 !shouldIncludePTX(Args, InputArch: gpu_arch_str))
556 continue;
557 // We need to pass an Arch of the form "sm_XX" for cubin files and
558 // "compute_XX" for ptx.
559 const char *Arch = (II.getType() == types::TY_PP_Asm)
560 ? OffloadArchToVirtualArchString(A: gpu_arch)
561 : gpu_arch_str;
562 CmdArgs.push_back(
563 Elt: Args.MakeArgString(Str: llvm::Twine("--image=profile=") + Arch +
564 ",file=" + getToolChain().getInputFilename(Input: II)));
565 }
566
567 for (const auto &A : Args.getAllArgValues(options::OPT_Xcuda_fatbinary))
568 CmdArgs.push_back(Args.MakeArgString(A));
569
570 const char *Exec = Args.MakeArgString(Str: TC.GetProgramPath(Name: "fatbinary"));
571 C.addCommand(C: std::make_unique<Command>(
572 args: JA, args: *this,
573 args: ResponseFileSupport{.ResponseKind: ResponseFileSupport::RF_Full, .ResponseEncoding: llvm::sys::WEM_UTF8,
574 .ResponseFlag: "--options-file"},
575 args&: Exec, args&: CmdArgs, args: Inputs, args: Output));
576}
577
578void NVPTX::Linker::ConstructJob(Compilation &C, const JobAction &JA,
579 const InputInfo &Output,
580 const InputInfoList &Inputs,
581 const ArgList &Args,
582 const char *LinkingOutput) const {
583 const auto &TC =
584 static_cast<const toolchains::NVPTXToolChain &>(getToolChain());
585 ArgStringList CmdArgs;
586
587 assert(TC.getTriple().isNVPTX() && "Wrong platform");
588
589 assert((Output.isFilename() || Output.isNothing()) && "Invalid output.");
590 if (Output.isFilename()) {
591 CmdArgs.push_back(Elt: "-o");
592 CmdArgs.push_back(Elt: Output.getFilename());
593 }
594
595 if (mustEmitDebugInfo(Args) == EmitSameDebugInfoAsHost)
596 CmdArgs.push_back(Elt: "-g");
597
598 if (Args.hasArg(options::OPT_v))
599 CmdArgs.push_back(Elt: "-v");
600
601 StringRef GPUArch = Args.getLastArgValue(options::Id: OPT_march_EQ);
602 if (GPUArch.empty() && !C.getDriver().isUsingLTO()) {
603 C.getDriver().Diag(diag::DiagID: err_drv_offload_missing_gpu_arch)
604 << getToolChain().getArchName() << getShortName();
605 return;
606 }
607
608 if (!GPUArch.empty()) {
609 CmdArgs.push_back(Elt: "-arch");
610 CmdArgs.push_back(Elt: Args.MakeArgString(Str: GPUArch));
611 }
612
613 if (Args.hasArg(options::OPT_ptxas_path_EQ))
614 CmdArgs.push_back(Elt: Args.MakeArgString(
615 Str: "--pxtas-path=" + Args.getLastArgValue(options::Id: OPT_ptxas_path_EQ)));
616
617 if (Args.hasArg(options::OPT_cuda_path_EQ))
618 CmdArgs.push_back(Elt: Args.MakeArgString(
619 Str: "--cuda-path=" + Args.getLastArgValue(options::Id: OPT_cuda_path_EQ)));
620
621 // Add paths specified in LIBRARY_PATH environment variable as -L options.
622 addDirectoryList(Args, CmdArgs, ArgName: "-L", EnvVar: "LIBRARY_PATH");
623
624 // Add standard library search paths passed on the command line.
625 Args.AddAllArgs(Output&: CmdArgs, options::Id0: OPT_L);
626 getToolChain().AddFilePathLibArgs(Args, CmdArgs);
627 AddLinkerInputs(TC: getToolChain(), Inputs, Args, CmdArgs, JA);
628
629 if (C.getDriver().isUsingLTO())
630 addLTOOptions(ToolChain: getToolChain(), Args, CmdArgs, Output, Inputs,
631 IsThinLTO: C.getDriver().getLTOMode() == LTOK_Thin);
632
633 // Forward the PTX features if the nvlink-wrapper needs it.
634 std::vector<StringRef> Features;
635 getNVPTXTargetFeatures(D: C.getDriver(), Triple: getToolChain().getTriple(), Args,
636 Features);
637 CmdArgs.push_back(
638 Elt: Args.MakeArgString(Str: "--plugin-opt=-mattr=" + llvm::join(R&: Features, Separator: ",")));
639
640 // Add paths for the default clang library path.
641 SmallString<256> DefaultLibPath =
642 llvm::sys::path::parent_path(path: TC.getDriver().Dir);
643 llvm::sys::path::append(path&: DefaultLibPath, CLANG_INSTALL_LIBDIR_BASENAME);
644 CmdArgs.push_back(Elt: Args.MakeArgString(Str: Twine("-L") + DefaultLibPath));
645
646 if (Args.hasArg(options::OPT_stdlib))
647 CmdArgs.append(IL: {"-lc", "-lm"});
648 if (Args.hasArg(options::OPT_startfiles)) {
649 std::optional<std::string> IncludePath = getToolChain().getStdlibPath();
650 if (!IncludePath)
651 IncludePath = "/lib";
652 SmallString<128> P(*IncludePath);
653 llvm::sys::path::append(path&: P, a: "crt1.o");
654 CmdArgs.push_back(Elt: Args.MakeArgString(Str: P));
655 }
656
657 C.addCommand(C: std::make_unique<Command>(
658 args: JA, args: *this,
659 args: ResponseFileSupport{.ResponseKind: ResponseFileSupport::RF_Full, .ResponseEncoding: llvm::sys::WEM_UTF8,
660 .ResponseFlag: "--options-file"},
661 args: Args.MakeArgString(Str: getToolChain().GetProgramPath(Name: "clang-nvlink-wrapper")),
662 args&: CmdArgs, args: Inputs, args: Output));
663}
664
665void NVPTX::getNVPTXTargetFeatures(const Driver &D, const llvm::Triple &Triple,
666 const llvm::opt::ArgList &Args,
667 std::vector<StringRef> &Features) {
668 if (Args.hasArg(options::OPT_cuda_feature_EQ)) {
669 StringRef PtxFeature =
670 Args.getLastArgValue(options::OPT_cuda_feature_EQ, "+ptx42");
671 Features.push_back(x: Args.MakeArgString(Str: PtxFeature));
672 return;
673 }
674 CudaInstallationDetector CudaInstallation(D, Triple, Args);
675
676 // New CUDA versions often introduce new instructions that are only supported
677 // by new PTX version, so we need to raise PTX level to enable them in NVPTX
678 // back-end.
679 const char *PtxFeature = nullptr;
680 switch (CudaInstallation.version()) {
681#define CASE_CUDA_VERSION(CUDA_VER, PTX_VER) \
682 case CudaVersion::CUDA_##CUDA_VER: \
683 PtxFeature = "+ptx" #PTX_VER; \
684 break;
685 CASE_CUDA_VERSION(128, 87);
686 CASE_CUDA_VERSION(126, 85);
687 CASE_CUDA_VERSION(125, 85);
688 CASE_CUDA_VERSION(124, 84);
689 CASE_CUDA_VERSION(123, 83);
690 CASE_CUDA_VERSION(122, 82);
691 CASE_CUDA_VERSION(121, 81);
692 CASE_CUDA_VERSION(120, 80);
693 CASE_CUDA_VERSION(118, 78);
694 CASE_CUDA_VERSION(117, 77);
695 CASE_CUDA_VERSION(116, 76);
696 CASE_CUDA_VERSION(115, 75);
697 CASE_CUDA_VERSION(114, 74);
698 CASE_CUDA_VERSION(113, 73);
699 CASE_CUDA_VERSION(112, 72);
700 CASE_CUDA_VERSION(111, 71);
701 CASE_CUDA_VERSION(110, 70);
702 CASE_CUDA_VERSION(102, 65);
703 CASE_CUDA_VERSION(101, 64);
704 CASE_CUDA_VERSION(100, 63);
705 CASE_CUDA_VERSION(92, 61);
706 CASE_CUDA_VERSION(91, 61);
707 CASE_CUDA_VERSION(90, 60);
708#undef CASE_CUDA_VERSION
709 // TODO: Use specific CUDA version once it's public.
710 case clang::CudaVersion::NEW:
711 PtxFeature = "+ptx86";
712 break;
713 default:
714 PtxFeature = "+ptx42";
715 }
716 Features.push_back(x: PtxFeature);
717}
718
719/// NVPTX toolchain. Our assembler is ptxas, and our linker is nvlink. This
720/// operates as a stand-alone version of the NVPTX tools without the host
721/// toolchain.
722NVPTXToolChain::NVPTXToolChain(const Driver &D, const llvm::Triple &Triple,
723 const llvm::Triple &HostTriple,
724 const ArgList &Args)
725 : ToolChain(D, Triple, Args), CudaInstallation(D, HostTriple, Args) {
726 if (CudaInstallation.isValid())
727 getProgramPaths().push_back(Elt: std::string(CudaInstallation.getBinPath()));
728 // Lookup binaries into the driver directory, this is used to
729 // discover the 'nvptx-arch' executable.
730 getProgramPaths().push_back(Elt: getDriver().Dir);
731}
732
733/// We only need the host triple to locate the CUDA binary utilities, use the
734/// system's default triple if not provided.
735NVPTXToolChain::NVPTXToolChain(const Driver &D, const llvm::Triple &Triple,
736 const ArgList &Args)
737 : NVPTXToolChain(D, Triple, llvm::Triple(LLVM_HOST_TRIPLE), Args) {}
738
739llvm::opt::DerivedArgList *
740NVPTXToolChain::TranslateArgs(const llvm::opt::DerivedArgList &Args,
741 StringRef BoundArch,
742 Action::OffloadKind OffloadKind) const {
743 DerivedArgList *DAL = ToolChain::TranslateArgs(Args, BoundArch, DeviceOffloadKind: OffloadKind);
744 if (!DAL)
745 DAL = new DerivedArgList(Args.getBaseArgs());
746
747 const OptTable &Opts = getDriver().getOpts();
748
749 for (Arg *A : Args)
750 if (!llvm::is_contained(Range&: *DAL, Element: A))
751 DAL->append(A);
752
753 if (!DAL->hasArg(options::OPT_march_EQ) && OffloadKind != Action::OFK_None) {
754 DAL->AddJoinedArg(nullptr, Opts.getOption(options::OPT_march_EQ),
755 OffloadArchToString(OffloadArch::CudaDefault));
756 } else if (DAL->getLastArgValue(options::OPT_march_EQ) == "generic" &&
757 OffloadKind == Action::OFK_None) {
758 DAL->eraseArg(options::OPT_march_EQ);
759 } else if (DAL->getLastArgValue(options::OPT_march_EQ) == "native") {
760 auto GPUsOrErr = getSystemGPUArchs(Args);
761 if (!GPUsOrErr) {
762 getDriver().Diag(diag::err_drv_undetermined_gpu_arch)
763 << getArchName() << llvm::toString(GPUsOrErr.takeError()) << "-march";
764 } else {
765 if (GPUsOrErr->size() > 1)
766 getDriver().Diag(diag::warn_drv_multi_gpu_arch)
767 << getArchName() << llvm::join(*GPUsOrErr, ", ") << "-march";
768 DAL->AddJoinedArg(nullptr, Opts.getOption(options::OPT_march_EQ),
769 Args.MakeArgString(GPUsOrErr->front()));
770 }
771 }
772
773 return DAL;
774}
775
776void NVPTXToolChain::addClangTargetOptions(
777 const llvm::opt::ArgList &DriverArgs, llvm::opt::ArgStringList &CC1Args,
778 Action::OffloadKind DeviceOffloadingKind) const {}
779
780bool NVPTXToolChain::supportsDebugInfoOption(const llvm::opt::Arg *A) const {
781 const Option &O = A->getOption();
782 return (O.matches(options::OPT_gN_Group) &&
783 !O.matches(options::OPT_gmodules)) ||
784 O.matches(options::OPT_g_Flag) ||
785 O.matches(options::OPT_ggdbN_Group) || O.matches(options::OPT_ggdb) ||
786 O.matches(options::OPT_gdwarf) || O.matches(options::OPT_gdwarf_2) ||
787 O.matches(options::OPT_gdwarf_3) || O.matches(options::OPT_gdwarf_4) ||
788 O.matches(options::OPT_gdwarf_5) ||
789 O.matches(options::OPT_gcolumn_info);
790}
791
792void NVPTXToolChain::adjustDebugInfoKind(
793 llvm::codegenoptions::DebugInfoKind &DebugInfoKind,
794 const ArgList &Args) const {
795 switch (mustEmitDebugInfo(Args)) {
796 case DisableDebugInfo:
797 DebugInfoKind = llvm::codegenoptions::NoDebugInfo;
798 break;
799 case DebugDirectivesOnly:
800 DebugInfoKind = llvm::codegenoptions::DebugDirectivesOnly;
801 break;
802 case EmitSameDebugInfoAsHost:
803 // Use same debug info level as the host.
804 break;
805 }
806}
807
808Expected<SmallVector<std::string>>
809NVPTXToolChain::getSystemGPUArchs(const ArgList &Args) const {
810 // Detect NVIDIA GPUs availible on the system.
811 std::string Program;
812 if (Arg *A = Args.getLastArg(options::OPT_nvptx_arch_tool_EQ))
813 Program = A->getValue();
814 else
815 Program = GetProgramPath(Name: "nvptx-arch");
816
817 auto StdoutOrErr = executeToolChainProgram(Executable: Program);
818 if (!StdoutOrErr)
819 return StdoutOrErr.takeError();
820
821 SmallVector<std::string, 1> GPUArchs;
822 for (StringRef Arch : llvm::split(Str: (*StdoutOrErr)->getBuffer(), Separator: "\n"))
823 if (!Arch.empty())
824 GPUArchs.push_back(Elt: Arch.str());
825
826 if (GPUArchs.empty())
827 return llvm::createStringError(EC: std::error_code(),
828 S: "No NVIDIA GPU detected in the system");
829
830 return std::move(GPUArchs);
831}
832
833/// CUDA toolchain. Our assembler is ptxas, and our "linker" is fatbinary,
834/// which isn't properly a linker but nonetheless performs the step of stitching
835/// together object files from the assembler into a single blob.
836
837CudaToolChain::CudaToolChain(const Driver &D, const llvm::Triple &Triple,
838 const ToolChain &HostTC, const ArgList &Args)
839 : NVPTXToolChain(D, Triple, HostTC.getTriple(), Args), HostTC(HostTC) {}
840
841void CudaToolChain::addClangTargetOptions(
842 const llvm::opt::ArgList &DriverArgs, llvm::opt::ArgStringList &CC1Args,
843 Action::OffloadKind DeviceOffloadingKind) const {
844 HostTC.addClangTargetOptions(DriverArgs, CC1Args, DeviceOffloadKind: DeviceOffloadingKind);
845
846 StringRef GpuArch = DriverArgs.getLastArgValue(options::OPT_march_EQ);
847 assert((DeviceOffloadingKind == Action::OFK_OpenMP ||
848 DeviceOffloadingKind == Action::OFK_Cuda) &&
849 "Only OpenMP or CUDA offloading kinds are supported for NVIDIA GPUs.");
850
851 CC1Args.append(IL: {"-fcuda-is-device", "-mllvm",
852 "-enable-memcpyopt-without-libcalls",
853 "-fno-threadsafe-statics"});
854
855 // Unsized function arguments used for variadics were introduced in CUDA-9.0
856 // We still do not support generating code that actually uses variadic
857 // arguments yet, but we do need to allow parsing them as recent CUDA
858 // headers rely on that. https://github.com/llvm/llvm-project/issues/58410
859 if (CudaInstallation.version() >= CudaVersion::CUDA_90)
860 CC1Args.push_back(Elt: "-fcuda-allow-variadic-functions");
861
862 if (DriverArgs.hasFlag(options::OPT_fcuda_short_ptr,
863 options::OPT_fno_cuda_short_ptr, false))
864 CC1Args.append(IL: {"-mllvm", "--nvptx-short-ptr"});
865
866 if (!DriverArgs.hasFlag(options::OPT_offloadlib, options::OPT_no_offloadlib,
867 true))
868 return;
869
870 if (DeviceOffloadingKind == Action::OFK_OpenMP &&
871 DriverArgs.hasArg(options::OPT_S))
872 return;
873
874 std::string LibDeviceFile = CudaInstallation.getLibDeviceFile(Gpu: GpuArch);
875 if (LibDeviceFile.empty()) {
876 getDriver().Diag(diag::err_drv_no_cuda_libdevice) << GpuArch;
877 return;
878 }
879
880 CC1Args.push_back(Elt: "-mlink-builtin-bitcode");
881 CC1Args.push_back(Elt: DriverArgs.MakeArgString(Str: LibDeviceFile));
882
883 // For now, we don't use any Offload/OpenMP device runtime when we offload
884 // CUDA via LLVM/Offload. We should split the Offload/OpenMP device runtime
885 // and include the "generic" (or CUDA-specific) parts.
886 if (DriverArgs.hasFlag(options::OPT_foffload_via_llvm,
887 options::OPT_fno_offload_via_llvm, false))
888 return;
889
890 clang::CudaVersion CudaInstallationVersion = CudaInstallation.version();
891
892 if (CudaInstallationVersion >= CudaVersion::UNKNOWN)
893 CC1Args.push_back(
894 Elt: DriverArgs.MakeArgString(Str: Twine("-target-sdk-version=") +
895 CudaVersionToString(V: CudaInstallationVersion)));
896
897 if (DeviceOffloadingKind == Action::OFK_OpenMP) {
898 if (CudaInstallationVersion < CudaVersion::CUDA_92) {
899 getDriver().Diag(
900 diag::err_drv_omp_offload_target_cuda_version_not_support)
901 << CudaVersionToString(CudaInstallationVersion);
902 return;
903 }
904
905 // Link the bitcode library late if we're using device LTO.
906 if (getDriver().isUsingOffloadLTO())
907 return;
908
909 addOpenMPDeviceRTL(D: getDriver(), DriverArgs, CC1Args, BitcodeSuffix: GpuArch.str(),
910 Triple: getTriple(), HostTC);
911 }
912}
913
914llvm::DenormalMode CudaToolChain::getDefaultDenormalModeForType(
915 const llvm::opt::ArgList &DriverArgs, const JobAction &JA,
916 const llvm::fltSemantics *FPType) const {
917 if (JA.getOffloadingDeviceKind() == Action::OFK_Cuda) {
918 if (FPType && FPType == &llvm::APFloat::IEEEsingle() &&
919 DriverArgs.hasFlag(options::OPT_fgpu_flush_denormals_to_zero,
920 options::OPT_fno_gpu_flush_denormals_to_zero, false))
921 return llvm::DenormalMode::getPreserveSign();
922 }
923
924 assert(JA.getOffloadingDeviceKind() != Action::OFK_Host);
925 return llvm::DenormalMode::getIEEE();
926}
927
928void CudaToolChain::AddCudaIncludeArgs(const ArgList &DriverArgs,
929 ArgStringList &CC1Args) const {
930 // Check our CUDA version if we're going to include the CUDA headers.
931 if (!DriverArgs.hasArg(options::OPT_nogpuinc) &&
932 !DriverArgs.hasArg(options::OPT_no_cuda_version_check)) {
933 StringRef Arch = DriverArgs.getLastArgValue(options::OPT_march_EQ);
934 assert(!Arch.empty() && "Must have an explicit GPU arch.");
935 CudaInstallation.CheckCudaVersionSupportsArch(Arch: StringToOffloadArch(S: Arch));
936 }
937 CudaInstallation.AddCudaIncludeArgs(DriverArgs, CC1Args);
938}
939
940std::string CudaToolChain::getInputFilename(const InputInfo &Input) const {
941 // Only object files are changed, for example assembly files keep their .s
942 // extensions. If the user requested device-only compilation don't change it.
943 if (Input.getType() != types::TY_Object || getDriver().offloadDeviceOnly())
944 return ToolChain::getInputFilename(Input);
945
946 return ToolChain::getInputFilename(Input);
947}
948
949llvm::opt::DerivedArgList *
950CudaToolChain::TranslateArgs(const llvm::opt::DerivedArgList &Args,
951 StringRef BoundArch,
952 Action::OffloadKind DeviceOffloadKind) const {
953 DerivedArgList *DAL =
954 HostTC.TranslateArgs(Args, BoundArch, DeviceOffloadKind);
955 if (!DAL)
956 DAL = new DerivedArgList(Args.getBaseArgs());
957
958 const OptTable &Opts = getDriver().getOpts();
959
960 for (Arg *A : Args) {
961 // Make sure flags are not duplicated.
962 if (!llvm::is_contained(Range&: *DAL, Element: A)) {
963 DAL->append(A);
964 }
965 }
966
967 if (!BoundArch.empty()) {
968 DAL->eraseArg(options::OPT_march_EQ);
969 DAL->AddJoinedArg(nullptr, Opts.getOption(options::OPT_march_EQ),
970 BoundArch);
971 }
972 return DAL;
973}
974
975Tool *NVPTXToolChain::buildAssembler() const {
976 return new tools::NVPTX::Assembler(*this);
977}
978
979Tool *NVPTXToolChain::buildLinker() const {
980 return new tools::NVPTX::Linker(*this);
981}
982
983Tool *CudaToolChain::buildAssembler() const {
984 return new tools::NVPTX::Assembler(*this);
985}
986
987Tool *CudaToolChain::buildLinker() const {
988 return new tools::NVPTX::FatBinary(*this);
989}
990
991void CudaToolChain::addClangWarningOptions(ArgStringList &CC1Args) const {
992 HostTC.addClangWarningOptions(CC1Args);
993}
994
995ToolChain::CXXStdlibType
996CudaToolChain::GetCXXStdlibType(const ArgList &Args) const {
997 return HostTC.GetCXXStdlibType(Args);
998}
999
1000void CudaToolChain::AddClangSystemIncludeArgs(const ArgList &DriverArgs,
1001 ArgStringList &CC1Args) const {
1002 HostTC.AddClangSystemIncludeArgs(DriverArgs, CC1Args);
1003
1004 if (!DriverArgs.hasArg(options::OPT_nogpuinc) && CudaInstallation.isValid())
1005 CC1Args.append(
1006 IL: {"-internal-isystem",
1007 DriverArgs.MakeArgString(Str: CudaInstallation.getIncludePath())});
1008}
1009
1010void CudaToolChain::AddClangCXXStdlibIncludeArgs(const ArgList &Args,
1011 ArgStringList &CC1Args) const {
1012 HostTC.AddClangCXXStdlibIncludeArgs(DriverArgs: Args, CC1Args);
1013}
1014
1015void CudaToolChain::AddIAMCUIncludeArgs(const ArgList &Args,
1016 ArgStringList &CC1Args) const {
1017 HostTC.AddIAMCUIncludeArgs(DriverArgs: Args, CC1Args);
1018}
1019
1020SanitizerMask CudaToolChain::getSupportedSanitizers() const {
1021 // The CudaToolChain only supports sanitizers in the sense that it allows
1022 // sanitizer arguments on the command line if they are supported by the host
1023 // toolchain. The CudaToolChain will actually ignore any command line
1024 // arguments for any of these "supported" sanitizers. That means that no
1025 // sanitization of device code is actually supported at this time.
1026 //
1027 // This behavior is necessary because the host and device toolchains
1028 // invocations often share the command line, so the device toolchain must
1029 // tolerate flags meant only for the host toolchain.
1030 return HostTC.getSupportedSanitizers();
1031}
1032
1033VersionTuple CudaToolChain::computeMSVCVersion(const Driver *D,
1034 const ArgList &Args) const {
1035 return HostTC.computeMSVCVersion(D, Args);
1036}
1037

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source code of clang/lib/Driver/ToolChains/Cuda.cpp