我正在尝试用CMake构建一些东西(由于项目的原因,它必须是一个较旧的版本),当我运行它时,我得到了这个错误: Specify CUDA_TOOLKIT_ROOT_DIR Call Stack (most rece 浏览2提问于2017-06-23得票数 5 回答已采纳 1回答 Windows 11 CLion上的CUDA新项目“未能检测到默认的cuda体系结构” 、、 我有Wi
export CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-5.5 我该如何正确地Specify CUDA_TOOLKIT_ROOT_DIR? nano ~/.bashrc。然后将以下行添加到文件中: export PATH=$PATH:/usr/local/cuda/bin export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib:/usr/local/lib export CPLUS_INCLUDE_PATH=/usr/loca...
RUN dpkg -i cuda-repo-ubuntu2004-11-4-local_11.4.0-470.42.01-1_arm64.deb RUN apt-key add /var/cuda-repo-ubuntu2004-11-4-local/7fa2af80.pub RUN apt-get update RUN apt-get -y install cuda Then, I run the ROS Build script. The build runs, but fails near the end becaus...
如果由于某些原因你无法直接修改CMAKE_PREFIX_PATH,你可以设置环境变量CUDA_PATH(或其他相关变量,具体取决于你的系统和CMake版本)来指向CUDA Toolkit的安装路径。 在Linux系统中,你可以在shell中设置环境变量: bash export CUDA_PATH=/usr/local/cuda 在Windows系统中,你可以在系统环境变量中添加或修改CUDA_PATH。
As mentioned in #472, the variable, CUDA_SDK_ROOT_DIR doesn't get set for Linux users using cmake even though it does find Cuda. On Linux ( Ubuntu 14.04.1 ) this variable doesn't get automatically set during installation of Cuda ( like i...
``CUDA_FOUND`` will report if an acceptable version of CUDA was found. 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 :command:`find_package`. To ...
1. 找到文件 C:\dev\libtorch\share\cmake\Caffe2\public\cuda.cmake,做如下修改: 在第59 行 find_package(CUDAToolkit REQUIRED) 之后添加两行内容: add_library(CUDA::nvToolsExt INTERFACE IMPORTED) set_property(TARGET CUDA::nvToolsExt APPEND PROPERTY INTERFACE_INCLUDE_DIRECTORIES "${CUDAToolkit_INCLUDE_...
message ( STATUS "CUDAToolkit_LIBRARY_DIR=${CUDAToolkit_LIBRARY_DIR}" ) message ( STATUS "CUDAToolkit_LIBRARY_ROOT=${CUDAToolkit_LIBRARY_ROOT}" ) message ( STATUS "CUDAToolkit_TARGET_DIR=${CUDAToolkit_TARGET_DIR}" ) message ( STATUS "CUDAToolkit_NVCC_EXECUTABLE=${CUDAToolkit_NVCC_EXECUTABLE...
# There are numerous Clang versions that can work with each CUDA toolkit and the # the checks are not very useful so we are turning them off and using testing to # ensure the various combinations work properly. list(APPEND CUTLASS_CUDA_CLANG_FLAGS --cuda-path=${CUDA_TOOLKIT_ROOT_DIR}...
The version can only be used with the CUDA toolkit VS integra- tion globally installed. See the CMAKE_VS_PLATFORM_TOOLSET_CUDA and CMAKE_VS_PLATFORM_TOOLSET_CUDA_CUSTOM_DIR variables. host=<arch> Specify the host tools architecture as x64 or x86. Supported by VS 2013 and above. See the...