我正在尝试构建一个需要 CUDA 的程序。对于我提供的 CMake 脚本: cmake -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda .. 找到CUDA,CMake正常运行: staudt ~/workspace/clutbb/cluster/build $ cmake -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda .. -- Found CUDA: /usr/local/cuda (found version "6....
/usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done CMake Error at /usr/share/cmake/Modules/FindCUDA.cmake:488 (message): Specify CUDA_TOOLKIT_ROOT_DIR Call Stack (most recent call first...
在CMakeLists.txt 中或者加入语句 set(CUDA_TOOLKIT_ROOT_DIR /usr/local/cuda-X.X/) find_package(CUDA REQUIRED)如果需要全局修改,直接在 ../cmake/linux/share/cmake-3.15/Modulels/ 或/usr/share/cmake-3.10/…
4.configure完成后,在Search框内输入CUDA和fast,勾选三个配置 : WITH_CUDA 、OPENCV_DNN_CUDA、ENABLE_FAST_MATH,要按顺序进行 勾选WITH CUDA,如果要应用opencv的sift算法,则还需要将OPENCV_ENABLE_NONFREE勾选上: 绿框是要特别注意勾选和修改。TOOLKIT_ROOT_DIR是本机当前配置环境下的cuda版本目录。 5.search...
set(CUDA_TOOLKIT_ROOT_DIR /usr/local/cuda) project (testCmake) add_definitions(-std=c++11) find_package(OpenCV REQUIRED) set(LIBRARY_OUTPUT_PATH ${PROJECT_SOURCE_DIR}/lib) set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${PROJECT_SOURCE_DIR}/bin) ...
检查CMakeLists.txt文件:OpenCV的构建通常使用CMake进行配置和生成构建系统。确保CMakeLists.txt文件中正确设置了CUDA相关的路径和参数。这包括CUDA_TOOLKIT_ROOT_DIR、CUDA_ARCH_BIN、CUDA_ARCH_PTX等。 确保Docker容器中已安装CUDA相关组件:如果在Docker容器中构建镜像时遇到该问题,确保在Dockerfile中添加了安装CUDA...
cmake .. -DCMAKE_INSTALL_PREFIX=D:/gmxtest/gromacs-2023 -DGMX_FFT_LIBRARY=fftw3 -DCMAKE_PREFIX_PATH=D:/gmxtest/fftw-3.3.10 -G "Visual Studio 17 2022" -DGMX_GPU=CUDA -DCUDA_TOOLKIT_ROOT_DIR=E:/GPU2/bin 7. cmake 安装
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...
$ CMAKE_ARGS="-DLLAMA_CUBLAS=on -DCUDA_PATH=/usr/local/cuda-12.2 -DCUDAToolkit_ROOT=/usr/local/cuda-12.2" FORCE_CMAKE=1 CUDA_PATH=/usr/local/cuda-12.2 CUDAToolkit_ROOT=/usr/local/cuda-12.2 pip install llama-cpp-python --no-cache-dir Collecting llama-cpp-python Downloading llama_cpp...
NVIDIA CUDA toolkit. Environment variables for the compilers and libraries for your specific platform. For more information, seeThird-Party HardwareandSetting Up the Prerequisite Products. Optional CMake with version greater than 3.18. Ninja-build ...