Clang unsupported cuda version. You signed out in another tab or window.
Clang unsupported cuda version CUDA minor version compatibility is described in detail in https: CUDA Compiler Latest host compiler Clang-18 support. 1, V9. Our CUDA+Clang builds are incopatible with very recently released CMake 3. 0 and 11. It produces SHF_COMPRESSED style compression of debug information. 3 LTS (x86_64) GCC version: (Ubuntu 11. 0 due to an unsupported architecture "sm_20" whic According to the CUDA 5. This is just the first baby step, there's probably still a relatively long way to go You signed in with another tab or window. 3, V12. Use -gz=zlib-gnu to get the old behavior. Include comments from within macros in preprocessed output Clang currently supports CUDA 7. 04, modify the blender. 2 or 11. Reload to refresh your session. The logs show several errors, such as "cannot load shard", ignored diagnostics because of a too-new cuda version, and "unsupported options". can we use valid __CUDA_ARCH__ in host code. 0K Jun 9 21:34 assets drwxr-xr-x 4 root root 36K Aug 23 19:39 bin-rw-r--r-- 1 root root 6. Tour Start here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site For cuda 11. ) The necessary support for the driver API (e. 0, comment the *_50 through *_61 lines for compatibility. Cuda compilation tools, release 9. Stretch does not come with older versions of gcc, so I need to use clang as the host compiler (nvcc does not support gcc-6). props file -- Add the following CudaClVersion where 2010 (not 2012) is not a mistake. You signed out in another tab or window. 3. 0. HIP APIs and features do not map to a specific CUDA version. --config Release [ 50%] Building CXX object CMakeFiles/example You signed in with another tab or window. 22. x, things will likely break. h must be included first in order to provide 361 // implementation for __nv_tex_surf_handler that CUDA's headers depend on. The latest clang that is supported with CUDA 11. You signed in with another tab or window. 0, even when manually specifying the `--cuda-path`. The most useful set would probably include multiple clang versions running with the latest CUDA. /main, but it compile) then it should be: g++-10 -fsanitize=address -g main. However, it won't run correctly when I am not in . 1 (use nvcc -V to know for sure). Hide Panel f; Keyboard Reference? Differential D155606 [Clang] Only emit CUDA version warnings when creating the CUDA toolchain Hello, Thank you for the helpful response. The cuda compiler automatic tests fails with the followings. A possible reason for which this happens is that you have installed the CUDA toolkit (including NVCC) and the GPU drivers separately, with This ensured that both CUDA and the CUDA toolkit were at version 12. 4 with ROCm 5. The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or incorrect Unlike NVCC clang is not tied to particular CUDA version, so, ideally, we'd need a full cartesian product of {clang, CUDA} versions, but that would probably be an overkill. GNU binutils 2. 7. GCC/compiler version. Commented Sep 6, 2024 at 16:20. or install a specific supported version (maybe clang as it will probably be less disruptive?). symbolInfo, resolve symbol info under the cursor:CocCommand clangd. I am clueless why it is not working and could not find a lot of information online. by extension *. (As by now I do know how to work around this issue. I would suggest running compilation with -v and check the CUDA include path clang I'd like to use vscode clangd to index CUDA header files in my project. 1 in Ubuntu 22. Log is attached. 8 for Ubuntu 22. cu files with the appropriate clang Hello, I’m trying to compile this project with Clang instead of NVCC. 0 through 12. Thanks to @HighCommander4, I solve this issue by adding a clang config file to my project. 0, 9. install, install latest release cmake mentioned CUDA_TOOLKIT_ROOT_DIR as cmake variable, not environment one. In fact, for CUDA 11. 1571) Target: x86_64-pc-linux As Jared mentions in a comment, from the command line: nvcc --version (or /usr/local/cuda/bin/nvcc --version) gives the CUDA compiler version (which matches the toolkit version). CUDA headers were never intended to be compilable by anything other than NVCC, so clang has to apply a lot of preprocessor magic to make those headers work. Provide its path via --cuda-path, or pass -nocudainc to build without CUDA includes. HIP-Clang supports inline GCN assembly. 8 which version we need and for cuda 12. However, while rebuilding darknet using the latest CUDA toolkit, it said. 01_linux. 1. . exe” From: Vlad Cojocaru via AMBER <amber. 0 only supports up to gcc-5; since this is unavailable in Debian 9, I used clang-3. If I remove the cuda files, indexing completes eventually. This would allow debugging regressions in clang. With a new CUDA version all Clang (/ ˈ k l æ ŋ /) [6] is a compiler front end for the programming languages C, C++, Objective-C, Objective-C++, and the software frameworks OpenMP, [7] OpenCL, RenderScript, CUDA, SYCL, and HIP. Hi, In cuda 10. c++; cmake; cuda; cmake-gui; Upgrading your CMake version is more easy than people realize. 8 ROCM used to build PyTorch: N/A OS: Ubuntu 22. I wonder if there is any way to make it run correctly? Thanks. cu -o axpy --cuda-gpu-arch=<GPU arch> \ -L<CUDA install path>/<lib64 or lib> \ -lcudart_static -ldl -lrt -pthread I’m trying to get up and running with llvm/clang + cuda. Include comments in preprocessed output-CC, --comments-in-macros¶. 2 Assuming the latest supported version 10. 23. -ccbin=“C:\Program Files\LLVM\bin\clang++. 0 Is debug build: False CUDA used to build PyTorch: 11. PTX assembly (CUDA 4. But since I only recently ran into it, I thought it would be worth discussing about it a bit. I noticed Bug Fix Report: AMX Instruction Compatibility with GCC Issue Summary. Hi, I'm testing the new feature allowing clang as CUDA compiler using cmake version 3. Here is the . The simple function is: # include <stdio. 1 CPU to v60dp tensorflow==2. This looks like the problem, which was mentioned in !4888 (closed). 1 [-Werror,-Wunknown-cuda-version] How do I prevent clang from bothering about my CUDA version CUDA is supported since llvm 3. I have tried scrounging through the internet for similar issues, but have had no working fixes so far. The nvcc flag | '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported | host compiler may cause compilation failure or incorrect run time execution. Version Information. clang-11: I’m trying to get up and running with llvm/clang + cuda. libcudart. Defined when compiling with HIP language support, indicating that the code targets the HIP environment. I don't understand why you get a the provided PTX was compiled with an unsupported toolchain as sm_50 wasn't deprecated in the Macro. If clang detects a newer CUDA version, it will issue a warning and will attempt to use detected CUDA SDK it as if it were CUDA 12. Anyone using an old GPU from an HPC cluster is probably out of luck. Please see Compute My guess is that something is broken w/ CUDA installation in your setup and clang picks up wrong/inconsistent CUDA headers somehow. 0-rc2 . cuda. g. Indexing would never complete and I isolated the problem to my cuda file entries. 4; vscode-clangd version:v0. an unsupported configuration of cublasLtMatmul with the scale type being FP32 and all other types being FP16 would run with the implicit assumption that the scale type is FP16 and produce incorrect results. A workaround which works with newer compilers is to append the -allow-unsupported-compiler flag to the NVCCFLAGS useflag. Navigation Menu Toggle navigation. Previous message: [llvm-dev] clang + cuda version issue Next message: [llvm-dev] [GlobalISel] Prioritizing long patterns in combiner over short ones Messages sorted by: Hi Burlen, it might be better to repost the question on cfe-dev at lists. Here - CUDA Installation Guide for Microsoft Windows it says: Windows Compiler Support MSVC Version 193x MSVC Version 192x MSVC Version 191x but the aforementioned versions of Visual Studio (at least 2019 and 2022) allow to use clang-cl. Second tier would be to run I’ve installed CUDA Toolkit through several ways now and it keeps giving me problems on Fedora 41. From application code, you can query the runtime API version with. 0/2. 0 does not support CUDA 9. x yet. 0, etc. The include dir for this header file is included in . @cloudhan, thank you for your code, I think vscode-clangd may make some improvement: vscode-clangd should work under cuda and cuda-cpp language mode. Add a comment | 3 For me, passing the flag Preprocessor flags ¶. switchSourceHeader, switch between source/header files:CocCommand clangd. 5. 2 . Note: Some Linux (or other OS) distributions don't have packages for multiple versions of Every commit in our git source code repository is currently tested with a range of configuration options on x86 with gcc versions including 9 and 12, clang versions including 9 and 15, CUDA versions 11. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company CUDA has 2 primary APIs, the runtime and the driver API. . cu: error: unknown type name '__device__' __devic According to this answer you should use: g++-10 -g -fsanitize=leak -o main main. 1 or any version past 6. 1 is 11. Now that this pointers are tagged with nonnull and dereferenceable(N), -fno-delete-null-pointer For GCC and Clang, the preceding table indicates the minimum version and the latest version supported. Comment Actions. 1 (also an unsupported linux OS for CUDA I’m trying to get up and running with llvm/clang + cuda. exe looks for a specific file ‘VC\Auxiliary\Build\vcvarsall. 2 and clang, for no obvious reason, complains about it: Unknown CUDA version 10. h> int main() 304. sm_20 is a real architecture, and it is not legal to specify a real architecture on the -arch option when a -code option is also // __clang_cuda_texture_intrinsics. e. 13 | packaged by conda-forge | (main, Dec 23 You signed in with another tab or window. Diff Detail. Although your driver can only support up to version 12. it seems is a CUDA version error, but I really don't know how to solve it, could you please help me about this? Here is my CUDA info: nvcc: NVIDIA (R) Cuda compiler Clang-18 crash: Unsupported library call operation! #73201. cu files, it does not support the same options that nvcc does. Saved searches Use saved searches to filter your results more quickly In your posted system information, the last line. 0-1ubuntu1~22. 20200602-g961ca77 from gitlab master branch. json to run the code (e. 04 using clang fails. org> Date: Mon, 5 Jun 2023 08:23:34 +0200 Dear all, I am trying to compile Amber 22 (AT 23) on a remote HPC machine using the Intel compiler (21. There is not setting or option for this. 0 version: Found Clang, but using gcc. In effort to better isolate the issue, I created a comp DB with just the cuda files, set the thread count to 1 and started the index. 4 drwxr-xr-x 2 The issue is observed on Ubuntu 18. enabling for extension *. ) Also, “bug report” is in quotes as the thing not working is not actually something that NVIDIA w Contribute to microsoft/clang development by creating an account on GitHub. 89 and earlier) do not support clang>=9. 04 with CUDA 11. bashrc. (my driver support up to 12. HIP provides a strong subset of the functionality provided in CUDA, and the hipify tools can scan code to identify any unsupported CUDA functions - this is useful for identifying the specific features required by a cuda-version-check. 4 I believe) in conjunction. X But when using CUDA 9. PS - using CMake 3. - llvm/llvm-project I believe that you have to use -Xsycl-target-backend[=] for each argument separately. That's why it does not work when you put it into . cpp test is failing with CUDA 9. Flags controlling the behavior of the Clang preprocessor. Assuming the latest supported version 10. To automate process of appending this certain string a sed macro has been readily made available by me in this post. Clang now adds source file infomation for template instantiations as event["args"]["filename"]. 20. Current behavior? Compiling TF 2. In more detail: The cuda file I am working with starts with #include <ATen/Context. I’m running CMake 3. cu or adding the clang flag -xcuda) set the path to your cuda installation if it isn’t detected, by adding the clang flag --cuda-path= I have just installed Debian Stretch (9) and Cuda 8 on a new GPU server. 33. 7 and CUDA 11. Table 1 CUDA 12. cu) make sure that clangd understands these are CUDA files (e. Command line parameters are slightly different from nvcc, though. Definition: Cuda. I already installed clangd on my (Ubuntu Linux) system and the official "vscode-clangd" extension from the VS Code market, and I also adjusted its settings so that clangd should be found by it. 15. 8 PyTorch version: 2. However F39 clang is 17, F40 is 18, and cuda 12. cpp ; ASAN_OPTIONS=detect_leaks=1 . CMakeLists. 111 driver or greater R390 branch: Preprocessor flags ¶. -C, --comments¶. [9] [10] It includes a clang-11: warning: Unknown CUDA version 10. x86_64, arm64-sbsa, aarch64-jetson Also, it seems clang can compile CUDA as well, maybe that's worth experimenting with (although you would have to build it appropriately). 0K Jun 8 20:14 CHANGES lrwxrwxrwx 1 root root 21 Aug 5 23:00 cuda -> /usr/local/cuda-11. Considering that you didn't specify --cuda-path explicitly, you're at the mercy of what ever CUDA packages you have installed on your system. h or cuda_fp16. json file i've specified c++17 as the argument" I don't see -std=c++17 in the command line, meaning you either didn't specify it correctly, or you did but you're not actually using tasks. The arguments are being interpreted by clang (as if you ran the command with the argv[0] replaced with clang, except it When trying to compile a cuda program, the typical cuda extensions and APIs such as `__device__` and `cudaMalloc` are now known to clang, although I did set --cuda-arch=sm_35 and --cuda-path=/usr mandelbrot. For instance, trying to compile a trivial CUDA program (with no ke You signed in with another tab or window. On MacOS, replace -lcudart_static with -lcudart; otherwise, you may get “CUDA driver version is insufficient for CUDA runtime version” errors when you run your program. clang-11: The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or Provide path to different CUDA installation via --cuda-path, or pass -nocudalib to build without linking with libdevice. A possible workaround is to use nvcc instead. coc-clangd also provides commands to interact with clangd::CocCommand clangd. 0 but CUDA installer shows this error: // __clang_cuda_texture_intrinsics. Note, that the correct path of brew installed g++ in MacOS is: I have built the LLVM project locally (latest release). 0 / 8. driver. 6 cuda) Bugzilla Link 35648 Resolution FIXED Resolved on Dec 12, 2017 15:34 Version trunk OS Linux CC @hfinkel,@Artem-B Extended Description The Driver/unknown-std. cudaRuntimeGetVersion() You signed in with another tab or window. <CudaClVersion Condition="'$(PlatformToolset)' == 'v110'">2010</CudaClVersion> "– A problem with bumping the default architecture would have been that there are already Clang version released, which support CUDA 10, but still use sm_20 by default. 35 Python version: 3. It will not be a drop in replacement to existing build systems. 7 or higher. I can do this invoking nvcc as: nvcc -ccbin clang-3. @JohnsPaul Although clang compiles . 6 but I have found that nvcc. Since C++17 can be compiled using clang 5 and upwards (see here), and one can compile cuda code as well (see here), is it possible to use both C++17 and CUDA at the same time (or can Thanks to contributions from Google and others, Clang now supports building CUDA. Just cd into the cuda_samples cloned directory and run the following sed one-liner to append the -allow With *buntu 20. 9. cuda. 6 Python version: 3. GCC 12 on Ubuntu 22. 2 clang 8 is supported but gives “nvcc fatal host compiler targets unsupported os” if used with ncc, e. cu:23:7: error: use of undeclared @jakirkham The current CUDA libraries (versions 10. I have tried using several different versions of CUDA and Clang, and different gpu_arch too. More recent CUDA versions will mostly compile and work as long as you don't happen to need the new compiler builtins. I have the same problem with CUDA 11. What prevents the OpenMP development community from supporting CUDA 10. -- The C compiler identification is Clang 6. Independent Thread Scheduling Compatibility . def err_drv_cuda_version_unsupported : Error< "GPU arch %0 is supported by CUDA versions between %1 and %2 (inclusive), " I am getting these two errors, but my project builds fine: Unknown argument: '-forward-unknown-to-host-compiler' [clang: drv_unknown_argument] ────────────────────────────────────────────────────── Saved searches Use saved searches to filter your results more quickly PyTorch version: 2. My colleague wrote a code to pull the appropriate codes for the compiler. h when bf16/tf32 types are enabled in CUDA-11. If I try to create a make project using Clang currently supports CUDA 7. config to remove compute_2* architectures from these lines (comments explain why): # CUDA architecture setting: going with all of them. But while #error -- unsupported clang version! clang version must be less than 13 and greater than 3. by my testing, you can remove -LC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11. Prefer to use a CUDA Toolkit which added support for the host compiler version or set the --allow-unsupported-compiler before hacking around inside local CUDA files. 8-12. The host code (the non-GPU code) must not depend on it. If the developer made assumptions about warp-synchronicity2, this feature can alter the set of threads participating in the executed code compared to previous architectures. On ELF, -gz now defaults to -gz=zlib with the integrated assembler. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Modified Compiler Flags ¶. 4/ drwxr-xr-x 20 root root 4. Since CUDA 8 does not support gcc-7, it was breaking. CUDA will not work if you specify 2012 version. 5 release notes (excerpt below), Clang support has beta status at this time meaning one should expect that some things don’t work properly yet. 107 I am using the following environment Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Visit the blog The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. <CUDA install path> – the directory This is still true. 0-1ubuntu1. X I get the same error as you: clang: error: cannot find libdevice for sm_50. Description __CLANG_RDC__ Defined when Clang is compiling code in Relocatable Device Code (RDC) mode. 2 or 10 for this hardware ? in this link you see more information: Create a VM with attached GPUs | Compute Engine Documentation | Google Cloud Linux instances: R384 branch: NVIDIA 384. I am adding CUDA as a language support in CMAKE and VS enables the CUDA Build customization based on that. exe compiler as well. // The implementation requires c++11 and only works with CUDA-9 or newer. subj The documentation is being vague about it. So is it possible to use clang-cl instead of While the compiler is gcc, clang-specific arguments like -resource-dir and --separator are generated, causing the compilation to fail. xx driver via a specific (ie. When compiling a C++ project using GCC 13 with CUDA enabled, the project encountered errors related to AMX Tile Matrix instructions (ldtilecfg and sttilecfg). Both have a corresponding version (e. clang: error: unsupported option ‘-dumpspecs’ Seems that Xcode_6. 8. ) If you want to reinstall ubuntu to create a clean setup, the linux getting started guide has all the instructions needed to set up CUDA if that is your intent. The nvcc flag ‘-allow-unsupported-compiler’ can be used to override this version check; however, using an unsupported host compiler may (1) When no -gencode switch is used, and no -arch switch is used, nvcc assumes a default -arch=sm_20 is appended to your compile command (this is for CUDA 7. I don't see why CMake should not detect the "unsupported GCC version" error, or even check the version numbers apriori. As a result, at least 33 tests failed. api. NVIDIA GPUs since Volta architecture have Independent Thread Scheduling among threads in a warp. You'd have to create a new function like CLANG_CUDA_ADD_LIBRARY that compiles . bat’ relative to any parent directory of CL. 85 indicates that your NVCC is currently V9. But I have one question, what is the correct Cuda version, 9. 3 nvcc version: release 12. If clang detects a newer CUDA version, it will issue a warning and will attempt to use detected CUDA SDK it as if it were CUDA 11. intel MPI 2021. 4, I’m trying to get up and running with llvm/clang + cuda. libcuda. cupy_backends. My CUDA version was upgraded to 10. 1 [-Wunknown-cuda-version] Runtimes. __HIP__. LLVM version: 17. cu:23:7: error: use of undeclared Clang only supports version 8. It appears that the cuda version 10. If you are on a Linux distribution that may use an older version of GCC toolchain as default than what is listed above, it is recommended to Contribute to microsoft/clang development by creating an account on GitHub. Their binary distributions are very tolerant of different system configurations, so That should only be the last resort. /a. Even I changed the version to GCC-12. txt 🐛 Describe the bug Issue While following the available tutorial of Pytorch's LibTorch, I'm unable to compile the example program due to the following error: $ cmake --build . Check coc-clangd’s README for more options. It can’t make it past the first itemclangd just hangs at As you can see, in this case the compiler is identified as "vanilla clang", and with the help of -allow-unsupported-compiler CUDA accepts it as a valid host compiler. I have built the LLVM project locally. However, even when doing that, clang only takes the first architecture into account (adding -Xcuda-ptxas -v shows only kernels for the first). When you try to compile a . this is the issue that I mentioned in our If you have concerns about the functionality of our prebuilt, we can keep discussing it on the other topic you file: After switch tensorflow from 2. Moreover, I found an issue on clangd github that shares a similar problem. 1\lib\x64 and -IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11. In my case, I had Nvidia Driver 495 which is not very old. 4 installed, hipify-clang is built against LLVM 12. The necessary support for the runtime API (e. Note that clang maynot support the host: msvc cuda: nvcc-> works host: clang cuda: nvcc-> works host: clang cuda: clang-> works host: msvc cuda: clang-> fails From the log output it seems as msvc compiler options are integrated into the clang command line. 8 instead. 2? If this warning is safely disregarded, it does not matter much though. 0 -- The CXX compiler identificatio Try manually edit Makefile. This is the official reply from Nvidia for a similar I have the env var CUDA_PATH and CUDA_PATH_V12_2 set to the appropriate directory, as set by CUDA’s installer automatically. 5 they recommend Nvidia Driver 470. 16. 0 CUDA Capability Major/Minor version number: 6. 6, which is the default version used in AF3. exe. If I pass --cuda-path as an argument, I get the same error, plus this error: clang++: error: unsupported option '--cuda-path. 26 or newer, or lld is required to link produced object files. 11. 26. 4, Clang 15. h must be included first in order to provide // implementation for __nv_tex_surf_handler that CUDA's headers depend on. Here is what’s happening: $ cmake -DCMAKE_BUILD_TYPE=Release -DGPU=ON -Bbuild/gpu-release 360 // __clang_cuda_texture_intrinsics. 03 GPU version. According to the official documentation, assuming your file is named axpy. Thrust. clangd. 0-rc8 CUDA Driver Version: 545. You cannot print a compiler macro the way you are imagining. 362 // The implementation requires c++11 and only works with CUDA-9 or newer. clangd version:Ubuntu clangd version 16. myself) didn't look yet at what's in the new CUDA version. desktop launcher to: CYCLES_CUDA_EXTRA_CFLAGS="-ccbin clang-8" blender As per the Blender web page as of 07-April-2020, Blender is not compatible with gcc 4. run (optional) -- What is the default working GCC version with CUDA 11. 0K Aug 23 15:41 cuda-11. 24; OS: Ubuntu 18. I wish to use my clang build to compile PyTorch source code. 1 successfully installed. I. Hi, I working using Google Cloud Instance with GPU K80 and Ubuntu 16. Currently I am facing issues during the PyTorch build. So, when using clang 9 (that the current clangdev provides) as the C/C++ compiler in a project that depends on a CUDA library, the build will fail with the message shown in the description. 4 which version we need? there is literally 0 info how do you know these :D – Furkan Gözükara. 6 should also work. ambermd. NVCC of this version is too old to support compute_86. cu file with NVCC, This really does not help us figure out what's wrong. [CUDA] Warn about unsupported CUDA SDK version only if it's used. <CUDA install path> – the directory Clang is mentioning three different CUDA versions here: 11. 1 or 2022). However, by default, clang uses the gcc C++ standard libraries, and it was trying to use version 7. CUDA/cuDNN version. Improvements to Clang’s time-trace ¶ Clang now specifies that using auto in a lambda parameter is a C++14 extension when appropriate. so on linux) is installed by the GPU driver installer. # For CUDA < 6. local pwd /usr/local local ll total 328K drwxr-xr-x 2 root root 4. h: CUDA_VERSION=11020. Fixes #81589. (@ivorobts, @fwyzard. When I try to compile the simple example shown in llvm examples I get clang-11: warning: Unknown CUDA version. Supported Architectures. If clang detects a newer CUDA version, it will issue a warning and will attempt to use detected CUDA SDK it as if it were When using clang++ as the host compiler of nvcc on Linux, Clang 15 and the pre-release 16 are not officially supported by nvcc, even in the latest CUDA version. OpenMP. llvm. If you are on a Linux distribution that may use an older version of GCC toolchain as default than what is listed above, it is aurotripathy changed the title Hi with "clang-11: error: Unsupported CUDA gpu architecture: gfx900:xnack-" while making examples Hit with "clang-11: error: Unsupported CUDA gpu architecture: gfx900:xnack-" while making examples Nov 10, 2020 Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Well, even after this patch neither clang nor clangd work correctly for me (I need some patches in llvm/clang sources, there are some issues with Microsoft's libraries; I wasn't able to make the linker work even after that), and CMake doesn't fully support CUDA + Clang on Windows either. 0 , 9. CUDADriverError: CUDA_ERROR_UNSUPPORTED_PTX_VERSION: the provided PTX was compiled with an unsupported toolchain. xx is a driver that will support CUDA 5 and previous (does not support newer CUDA versions. 0 Clang version: Could not collect CMake version: Could not collect Libc version: glibc-2. cpp (in this cases (with flag leak) there is no leak message for me . 1\include from I'm currently trying to compile Darknet on the latest CUDA toolkit which is version 11. 4, thanks to some compatibility features provided by NVIDIA, version 12. 4 is not supported in the CUDA 4. 2 is LATEST and therefore the one returned by getCudaVersion or as the "last resort" in CudaInstallationDetector, and the first warning says that Clang assumes the latest supported version 10. CUDA releases are usually supersets Hi, After upgrading all packages on my ubuntu machine clang no longer works as expected. Clang 14. out and it detect leak well. I am not using the Find CUDA method to search and add CUDA. I have a large project (few thousand source files). Use at your own risk. 0 through 11. You switched accounts on another tab or window. (I am able to build "real" projects like this, this setup does work. 17. clang: error: cannot find CUDA installation. ikitayama March 25, 2020, 12:05am 1. – HolyBlackCat clang command line option--no-cuda-version-check clang command line option--no-default-config clang command line option--no-gpu-bundle-output clang command line option--no-integrated-cpp clang command line option--no-line-commands clang command line option--no-offload-add-rpath clang command line option Hi, I guess this is a bit more of a “bug report” than a help request. 1 icc 19 is supported but gives “nvcc fatal host compiler targets unsupported os” In cuda 10. 08 CUDA Version: 12. 1 [-Wunknown-cuda-version] There would be no point submitting bugs to NVIDIA concerning this. Include comments from within macros in preprocessed output Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; Get the latest CudaVersion that supports the given OffloadArch. Saved searches Use saved searches to filter your results more quickly Should better detect CUDA-vs-GCC version incompatibility. h Skip to content. As a developer looking into the code, I get that the first warning is about saying For GCC and Clang, the preceding table indicates the minimum version and the latest version supported. 4. 1 - -LC://Program Files//NVIDIA GPU CUDA 8. Supported Platforms. 0, however it seems to incorrectly pick version 9. 8? Although I have downloaded CUDA-11. cmake it clearly says that: The script will prompt the user to specify CUDA_TOOLKIT_ROOT_DIR if the prefix cannot be determined by the location of nvcc in the system path and REQUIRED is specified to "In my tasks. However, I explicitly want to set it up so that it uses the Language Server Protocol to communicate with clangd when handling C++-files. GPU model and memory. CompileFlags: Add: - --cuda-path=C://Program Files//NVIDIA GPU Computing Toolkit//CUDA//v12. 8 Is there any way to acheive this system wide - e. I believe you are picking up a 304. 5. h: CUDA_VERSION=11040. See NVIDIA’s CUDA installation guide for details. nvcc fatal __CUDA_ARCH__ is a compiler macro. NVIDIA doesn't develop or maintain Clang. No, it is intended to be used in device code only:. Clang currently supports CUDA 7. CUDA C++ Core Compute Libraries. 7 and CUDA 12. clangd configuration file that I use for my project :. 0 (++20231018091808+48a53509e851-1~exp1~20231018091910. cu, the basic usage is: $ clang++ axpy. You’re using an unsupported build combination for CUDA 11. 1 Total amount of global memory: 8114 MBytes (8508145664 bytes) (20) Multiprocessors, (128) CUDA Cores/MP: 2560 CUDA Cores This document describes how to compile CUDA code with clang, and gives some details about LLVM and clang’s CUDA implementations. clang: clang: warning: Unknown CUDA version. in cuda config or an environment variable? You signed in with another tab or window. 6 Update 3 Component Versions ; Component Name. RDC, enabled with the -fgpu-rdc compiler option, is necessary for linking device codes across translation units. I have a GPU capable of running CUDA version 5 which is a GeForce 940M. cu files, even the content of them are the same. org, which is the clang frontend developer list. the "code runner" extension ignores it). So in my makefile I changed: /usr/local/cuda/bin/nvcc -ccbin /usr/bin/gcc I installed all nvidia drivers with this autoinstaller (GitHub - t0xic0der/nvidia-auto-installer-for-fedora-linux: A CLI tool which lets you install proprietary NVIDIA drivers and much more easily on Fedora Linux (32 or above and Rawhide)) and it seemed like everyhting went right, since blender could actually see my card and cuda could be enabled from options. h: CUDA_VERSION=11040 is to warn users that clang developers (i. 04) 11. The above command will launch Blender with compiler settings compatible with 20. Repository rG LLVM Github Monorepo. CMake probably wants to support the widest range possible. Open iamanonymouscs opened this issue Nov 23, 2023 clang-18: error: clang frontend command failed with exit code 70 (use -v to see invocation) Ubuntu clang version 18. 10. cu. This of course somewhat prevents one from using C++17 on the host side. The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler It seems clang++-5. When Clang 14 compiles CUDA sources, it automatically selects the most recent GCC version, i. If you look into FindCUDA. so on linux, and also nvcc) is installed by the CUDA toolkit installer (which may also have a GPU driver 1. ) unsupported clang version! clang version must be less than 15 and greater than 3. if you include mma. ~ Johannes On 1/19/21 5:48 PM, Burlen This makes clang somewhat forward-compatible with new CUDA releases without having to patch it for every minor release without adding any new functionality. ensure that your editor plugin is enabling clangd when CUDA files are open (e. 0+nv24. – As far as using nvcc, one needs to use the corresponding gcc (currently max. 0). Before you build CUDA code, you’ll need to have installed the CUDA SDK. That wouldn’t help others compiling your application code. If an unknown version is found, clang issues a warning (can be disabled with -Wno-cuda-unknown-version) and assumes that it has detected the latest known version. llvm 11. separate) driver install. 5, the default -arch setting may vary by CUDA version). 04, the installer doesn’t work with GCC-11. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Describe the bug This is not necessarily a bug in intel/llvm, or a bug at all. 0, but I still run the 12. These errors stemmed from conflicts between the __builtin_ia32_ldtilecfg and __builtin_ia32_sttilecfg intrinsics and GCC’s internal Version 2 (CUDA next): atomic<T>::wait/notify, && (__clang_minor__ < 3)) # error-- unsupported clang version! clang version must be less than 11 and greater than 3. 2. Hi, I am experimenting with CUDA language support in Clang, and so far the kernel-call test in Clang trunk (r158426) compiles and runs, on a Tesla C2050. 3, and a version of oneAPI containing Intel’s clang-based compiler. Also #21934 could be related. CUDA Driver Version / Runtime Version 9. 04. 2. How would you approach this? Thank you. 1 (also an unsupported linux OS for CUDA development). You can not rely on CUDA_ADD_LIBRARY to automatically work as you'd expect. 2 does not support libc++ that is distributed with clang 10. When I try to compile the simple example shown in llvm examples I get. Is this supposed to work select gcc-8 as compiler (version) -- press the number that points to gcc-8 sudo update-alternatives --config gcc; now cuda versions that require old gcc-versions work sudo sh cuda_10. 6 update 2 supports clang 16 to 18 inclusive. I wish to use my clang build to compile PyTorch source code. 1 [-Wunknown-cuda-version] axpy. 7, hipSYCL 0. cpp:237 clang::IsAMDOffloadArch There is ONLY one version of cuda, from what I can see . Did you follow the instruction there to update the props file? "cuda 5. However, now I . CUDA driver version is insufficient for CUDA runtime version The latest CUDA Mac driver could be found under CUDA Drivers for MAC Archive | NVIDIA This document describes how to compile CUDA code with clang, and gives some details about LLVM and clang’s CUDA implementations. 4 is what I really have installed, 11. 89_440. Now I would like to enable C++11 support in Clang to use compile-time C++11 features in GPU code, primarily variadic templates and lambda functions. The log output is a bit misleading in this respect: clang is not actually invoking gcc with those arguments. 6 LTS This fixes an issue with clang issuing a warning about unknown CUDA SDK if it's detected during non-CUDA compilation. I am trying to compile a file vecadd. This is the version for which clang implements all builtins needed by CUDA headers. to [CUDA] Warn about unsupported CUDA SDK version only if it's used. [8] It acts as a drop-in replacement for the GNU Compiler Collection (GCC), supporting most of its compiling flags and unofficial language extensions. cu using the following command Clang now diagnoses dangling references to fields of temporary objects. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company warning: Unknown CUDA version. Quadro RTX 6000 24GB. memoryUsage, show memory usage:CocCommand clangd. Provide path to The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or The latest clang that is supported with CUDA 11. yehknpkyjzjxyazujemwkcrunkfkdchkkuezfhvotcmdzmeaot