# CUDA 9.0 on MacOSX High Sierra - samples compile, cmake projects don't **URL:** \ **Category:** CUDA Setup and Installation\ **Created:** [November 23, 2017, 10:19am UTC](https://forums.developer.nvidia.com/t/cuda-9-0-on-macosx-high-sierra-samples-compile-cmake-projects-dont/55487 "2017-11-23T10:19:59Z")\ **Posts on this page:** 6\ **Page:** 1
**Author:** ![aurel.gruber](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@aurel.gruber](https://forums.developer.nvidia.com/u/aurel.gruber)\ **Post date:** [November 23, 2017, 10:19am UTC](https://forums.developer.nvidia.com/t/cuda-9-0-on-macosx-high-sierra-samples-compile-cmake-projects-dont/55487/1 "2017-11-23T10:19:59Z")
Hey Guys Im currently trying to get CUDA to work on MacOSX High Sierra. I had some trouble initially because the error: 0 CUDA driver version is insufficient for CUDA runtime version always occurred when trying to run a nvcc compiled binary. I then updated mto OSX 10.13.1 I then upgraded to the ~~latest Cuda driver (9.0.222)~~ to the web driver (378.10.10.10.20.107) and now i can not only compile (worked before also) but also run samples (those from /Developer/NVIDIA/CUDA-9.0/samples) This is the output from ./deviceQuery: ```auto ./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "GeForce GT 750M" CUDA Driver Version / Runtime Version 9.0 / 9.0 CUDA Capability Major/Minor version number: 3.0 Total amount of global memory: 2048 MBytes (2147024896 bytes) ( 2) Multiprocessors, (192) CUDA Cores/MP: 384 CUDA Cores GPU Max Clock rate: 926 MHz (0.93 GHz) Memory Clock rate: 2508 Mhz Memory Bus Width: 128-bit L2 Cache Size: 262144 bytes Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096) Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535) Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Concurrent copy and kernel execution: Yes with 1 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled Device supports Unified Addressing (UVA): Yes Supports Cooperative Kernel Launch: No Supports MultiDevice Co-op Kernel Launch: No Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.0, CUDA Runtime Version = 9.0, NumDevs = 1 Result = PASS ``` But whenever I try to build a CMake project it fails with the same error as before. I tried for example with this example: > **[Building Cross-Platform CUDA Applications with CMake | NVIDIA Technical Blog](https://developer.nvidia.com/blog/building-cuda-applications-cmake/)** > > Cross-platform software development poses a number of challenges to your application’s build process. How do you target multiple platforms without maintaining multiple platform-specific build scripts… > **[code-samples/posts/cmake at master · robertmaynard/code-samples](https://github.com/robertmaynard/code-samples/tree/master/posts/cmake)** > > Source code examples from the Parallel Forall Blog - robertmaynard/code-samples Has anyone else had the same problem? Thanks for your help! EDIT: I also tried explicitly passing in my architecture with: ```auto cmake -DCMAKE_CUDA_FLAGS=”-arch=sm_30” .. ``` And to have everything in one place, the CMakeLists.txt: ```auto cmake_minimum_required(VERSION 3.8 FATAL_ERROR) project(cmake_and_cuda LANGUAGES CXX CUDA) include(CTest) add_library(particles STATIC randomize.cpp randomize.h particle.cu particle.h v3.cu v3.h ) # Request that particles be built with -std=c++11 # As this is a public compile feature anything that links to # particles will also build with -std=c++11 target_compile_features(particles PUBLIC cxx_std_11) # We need to explicitly state that we need all CUDA files in the # particle library to be built with -dc as the member functions # could be called by other libraries and executables set_target_properties( particles PROPERTIES CUDA_SEPARABLE_COMPILATION ON) add_executable(particle_test test.cu) set_property(TARGET particle_test PROPERTY CUDA_SEPARABLE_COMPILATION ON) target_link_libraries(particle_test PRIVATE particles) if(APPLE) # We need to add the path to the driver (libcuda.dylib) as an rpath, # so that the static cuda runtime can find it at runtime. set_property(TARGET particle_test PROPERTY BUILD_RPATH ${CMAKE_CUDA_IMPLICIT_LINK_DIRECTORIES}) endif() ``` EDIT 2: I also tried downgrading to cuda 8.0 and XCode 7.3.1. But same result, compiling works but running not with same error. ---
**Author:** ![oliverfkocr](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@oliverfkocr](https://forums.developer.nvidia.com/u/oliverfkocr)\ **Post date:** [November 23, 2017, 5:02pm UTC](https://forums.developer.nvidia.com/t/cuda-9-0-on-macosx-high-sierra-samples-compile-cmake-projects-dont/55487/2 "2017-11-23T17:02:25Z")
I can confirm to have the same problem. Also macOS 13.1. Also opencv compiles but the samples shaw the same error messages. I tried downgrading to 9.0.197 but no change. ---
**Author:** ![sn0wf1llin](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@sn0wf1llin](https://forums.developer.nvidia.com/u/sn0wf1llin)\ **Post date:** [November 24, 2017, 6:29am UTC](https://forums.developer.nvidia.com/t/cuda-9-0-on-macosx-high-sierra-samples-compile-cmake-projects-dont/55487/3 "2017-11-24T06:29:20Z")
I have the same problem I tried to uninstall all completely, reboot and install again, but nothing helped I need CUDA, but can’t use it because tests returned ```auto -> CUDA driver version is insufficient for CUDA runtime version Result = FAIL ``` ```auto CUDA Driver Version: 9.0.222 ``` ```auto GPU Driver Version: 10.26.6 355.11.10.10.15.102 ``` ```auto nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2017 NVIDIA Corporation Built on Fri_Sep__1_13:16:23_CDT_2017 Cuda compilation tools, release 9.0, V9.0.175 ``` ```auto cat /usr/local/cuda/version.txt CUDA Version 9.0.176 ``` ---
**Author:** ![sn0wf1llin](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@sn0wf1llin](https://forums.developer.nvidia.com/u/sn0wf1llin)\ **Post date:** [November 24, 2017, 6:50am UTC](https://forums.developer.nvidia.com/t/cuda-9-0-on-macosx-high-sierra-samples-compile-cmake-projects-dont/55487/4 "2017-11-24T06:50:06Z")
> [@](#): > > I have the same problem > I tried to uninstall all completely, reboot and install again, but nothing helped > I need CUDA, but can’t use it because tests returned > > ```auto > -> CUDA driver version is insufficient for CUDA runtime version > Result = FAIL > > ``` > > ```auto > CUDA Driver Version: 9.0.222 > > ``` > > ```auto > GPU Driver Version: 10.26.6 355.11.10.10.15.102 > > ``` > > ```auto > nvcc -V > nvcc: NVIDIA (R) Cuda compiler driver > Copyright (c) 2005-2017 NVIDIA Corporation > Built on Fri_Sep__1_13:16:23_CDT_2017 > Cuda compilation tools, release 9.0, V9.0.175 > > ``` > > ```auto > cat /usr/local/cuda/version.txt > CUDA Version 9.0.176 > > ``` **Solved by:** ```auto Uninstall all (again) & restart Install CUDA driver 9.0.222 Install CUDA Toolkit 9.0.176 & restart Install WebDriver-378.10.10.10.20.107.pkg Restart ``` ---
**Author:** ![fgiraffe](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@fgiraffe](https://forums.developer.nvidia.com/u/fgiraffe)\ **Post date:** [June 12, 2019, 8:42pm UTC](https://forums.developer.nvidia.com/t/cuda-9-0-on-macosx-high-sierra-samples-compile-cmake-projects-dont/55487/5 "2019-06-12T20:42:46Z")
Sorry to resurrect this zombie thread, but I am running into the same issue. macOS 10.13.6 MacBook Pro (Retina, 15-inch, Mid 2014)/NVIDIA GeForce GT 750M CUDA Driver Version: 418.163 Web Driver 387.10.10.10.40.128 Cuda compilation tools, release 10.1, V10.1.168 The puzzling thing to me is that it seems to be a CMake problem. I say this because if I invoke nvcc directly (nvcc my\_source.cu -o a.out)it produces an executable that runs fine. It is only when I build via CMake that I have problems. Before I go through re-install heck I’d like to understand why CMake is failing to build a good binary but nvcc is fine. I know, I can just use nvcc alone and solve my problem but that does not scale. Thanks in advance Verbose CMake output below. ```auto [33%] Building CUDA object CMakeFiles/0book.dir/0book.cu.o /Developer/NVIDIA/CUDA-10.1/bin/nvcc -x cu -c /Users/fgiraffe/code/1cuda_by_example_book/0book.cu -o CMakeFiles/0book.dir/0book.cu.o [66%] Linking CUDA device code CMakeFiles/0book.dir/cmake_device_link.o /usr/local/Cellar/cmake/3.14.5/bin/cmake -E cmake_link_script CMakeFiles/0book.dir/dlink.txt --verbose=1 /Developer/NVIDIA/CUDA-10.1/bin/nvcc -Xcompiler=-fPIC -Wno-deprecated-gpu-targets -shared -dlink CMakeFiles/0book.dir/0book.cu.o -o CMakeFiles/0book.dir/cmake_device_link.o [100%] Linking CUDA executable 0book /usr/local/Cellar/cmake/3.14.5/bin/cmake -E cmake_link_script CMakeFiles/0book.dir/link.txt --verbose=1 /usr/bin/clang++ CMakeFiles/0book.dir/0book.cu.o CMakeFiles/0book.dir/cmake_device_link.o -o 0book -L"/Developer/NVIDIA/CUDA-10.1/lib" "/Developer/NVIDIA/CUDA-10.1/lib/libcudart_static.a" -lcudadevrt [100%] Built target 0book /usr/local/Cellar/cmake/3.14.5/bin/cmake -E cmake_progress_start /Users/fgiraffe/code/1cuda_by_example_book/build/CMakeFiles 0 ``` ---
**Author:** ![ejcjason](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@ejcjason](https://forums.developer.nvidia.com/u/ejcjason)\ **Post date:** [September 9, 2019, 11:08pm UTC](https://forums.developer.nvidia.com/t/cuda-9-0-on-macosx-high-sierra-samples-compile-cmake-projects-dont/55487/6 "2019-09-09T23:08:31Z")
@fgiraffe Hi, the same problem. nvcc directly goes well. But when using cmake, the same error comes up. This might explain everything: [Minimal CUDA project fails to run after successful configure and build (#17296) · Issues · CMake / CMake · GitLab](https://gitlab.kitware.com/cmake/cmake/issues/17296)