CMakeLists.txt中有找CUDA的代码(例如find_package(CUDA REQUIRED)),系统也有装完整的NVIDIA驱动和CUDA环境(nvidia-smi能正常输出CUDA版本),但CMake编译报错: Could NOT find CUDA (missing: CUDA_INCLUDE_DIRS CUDA_CUDART_LIBRARY) 查看发现系统的cuda路径是/usr/local/cuda-11.2/,而CMake默认搜索CUDA的路径是/u...
cmake 找不到cuda Could Not find CUDA(missing:CUDA_INCLUDE_DIRS CUDA_CUDART_LIBRARY),程序员大本营,技术文章内容聚合第一站。
#ifndef CUDATEST_H #define CUDATEST_H #include "cuda_runtime.h" #include "device_launch_parameters.h" #include <stdio.h> void print_hello(void); #endif 这样写是将cudaTest作为library链接到main 需要在cudaTest目录中加CMakeLists.txt然后主CMakeLists写target_link_libraries(main cudaTest) ** ...
向构建目标链接 CUDA 库文件 使用target_link_libraries() 指定目标项目在链接时需要使用的库文件. CUDA Runtime, cuBLAS 和 cuSPARSE 等库包含在 CUDA Toolkit 包中. 如果要使用它们, 只需要链接对应的库文件. 例如使用储存了 CUDA Runtime 库文件的变量 CUDA_cudart_LIBRARY 来链接 CUDA Runtime 库文件. ...
StaticLibOfFnsCUDAKernelcmake_d.dir/src/library.cu.o CMakeFiles/StaticLibOfFnsCUDAKernelcmake_d.dir/cmake_device_link.o -ldl -lcudadevrt -lcudart_static -lrt -lpthread -ldl -L"/usr/local/cuda-12.0/targets/x86_64-linux/lib/stubs" -L"/usr/local/cuda-12.0/targets/x86_64-linux/lib...
经过几个小时的努力，我找到了答案。有两个资源给了我所需要的提示：https://developer.nvidia.com/blog/building-cuda-applications-cmake/ https://gist.github.com/gavinb/c993f71cf33d2354515c4452a3f8ef30 您必须将mainapp与CUDA运行时相链接：
Caffe: a fast open framework for deep learning. Contribute to BVLC/caffe development by creating an account on GitHub.
find_library(CUDART_LIB cudart HINTS ${CUDA_TOOLKIT_ROOT_DIR} PATH_SUFFIXES lib lib64) find_library(RT_LIB rt) set(CUDA_LIBRARIES ${CUDART_LIB}) ### # CUDA targets if (DEFINED GPU_ARCHS) message(STATUS "GPU_ARCHS defined as ${GPU_ARCHS}. Generating CUDA code for SM ${GPU...
You can specify which runtime all CUDA targets will use inside your project by settingCMAKE_CUDA_FLAGSto–cudart { none | shared | static }. For example, to use the static CUDA runtime library, set it to–cudart static. Next, on line 2 is the project command which sets the project ...
Run the compiler and other build tools to create a dynamic library. In this example, the MATLAB entry-point functionfog_rectificationtakes a foggy image as input and produces a defogged image. Your goal is to generate a SIL MEX that links to a generated CUDA dynamic library for this entry...