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.
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...
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) # 定义cuda路径变量 # project name,指定项目的名称,一般和项目的文件夹名称对应 project(smart) add_definitions(-std=c++11) # 添加支持c++11特征 # find_package(CUDA) find_package(OpenCV REQUIRED) # 添加opencv依赖库 if (NOT OpenCV_FOUND) message(FATAL_...
在为Docker构建镜像时,如果OpenCV cmake找不到CUDA,这可能是因为缺少必要的依赖或配置不正确。下面是一些解决该问题的步骤和建议: 1. 确保CUDA已正确安装:CUDA是用于GPU...
{CUDA_TOOLKIT_ROOT_DIR})set(CUBLAS_PATHS/usr/usr/local/usr/local/cuda)# Finds the include directoriesfind_path(CUBLAS_INCLUDE_DIRSNAMEScublas_v2.hcuda.hHINTS${CUBLAS_HINTS}PATH_SUFFIXESincludeincinclude/x86_64include/x64PATHS${CUBLAS_PATHS}DOC"cuBLAS include header cublas_v2.h")mark_as_...
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...
_LIBRARY_ROOT = ${CUDAToolkit_LIBRARY_ROOT}")message(STATUS"CUDAToolkit_TARGET_DIR = ${CUDAToolkit_TARGET_DIR}")message(STATUS"CUDAToolkit_NVCC_EXECUTABLE = ${CUDAToolkit_NVCC_EXECUTABLE}")message(STATUS"CMAKE_CUDA_FLAGS = ${CMAKE_CUDA_FLAGS}")message(STATUS"CUDA_STANDARD = ${CUDA_STANDARD...
在上述代码中,我们首先检查是否已找到CUDA。如果找到,则使用`set()`指令设置相应的CUDA编译选项。例如,设置cuda架构为"sm_30"(具体取决于你所使用的GPU)。接下来,使用`link_directories()`指令将CUDA库路径`${CUDA_TOOLKIT_ROOT_DIR}/lib64`添加到链接目录中。最后,使用`target_link_libraries()`指令链接必要的...
$ 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...