# cmake寻找cuda,这个要现在系统里面装好cuda,设置好cuda的环境参数啥的 FIND_PACKAGE(CUDA REQUIRED) # C++和CUDA的编译参数,可选。 SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11") SET(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS};-gencode arch=compute_61,code=sm_61;-std=c++11;) # 头文件...
nvcc fatal : Unsupported gpu architecture 'compute_20' while cuda9.0 is installed 0 Compile CUDA code with cmake and 3.5 compute capability 2 CMake + CUDA "invalid device function" even with correct SM version 3 What is the meaning of CUDA return value error 35? 1 CUDA Separable C...
set(CUDA_LIBRARIES "/usr/local/cuda/lib64") message(STATUS "current dir: " ${CMAKE_CURRENT_SOURCE_DIR}) message(STATUS "cuda .h: " ${CUDA_INCLUDE_DIRS}) message(STATUS "cuda libs: " ${CUDA_LIBRARIES}) option(CMAKE_VERBOSE_MAKEFILE ON) set(CUDA_NVCC_FLAGS -std=c++17) set(CMAKE...
FIND_PACKAGE(CUDA REQUIRED) FIND_PACKAGE(OpenCV 3.0 REQUIRED) SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11") SET(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS};-gencode arch=compute_61,code=sm_61;-std=c++11;) INCLUDE_DIRECTORIES(${PCL_INCLUDE_DIRS} ./containers) LINK_DIRECTORIES(${PCL_...
cmake -DCMAKE_CUDA_FLAGS=”-arch=sm_30” . 图1 显示了输出。 CMADE 自动发现并验证 C ++和 CUDA 编译器并生成一个 MaMaFrimeProject 。注意,参数-DCMAKE_CUDA_FLAGS="-arch=sm_30"将-arch=sm_30传递给nvcc,告诉它以我计算机中的开普勒体系结构( SM _ 30 或 ComputeCapability 3 . 0 )GPU为目...
解决方案 在src/CMakeLists.txt中添加编译选项 set(CMAKE_NVCC_FLAGS"CMAKE_NVCC_FLAGS -std=c++11")
message(STATUS "CUDA not found. Project will not be built.") endif(NOT CUDA_FOUND) if (WIN32) set(EXTRA_CXX_FLAGS "/DVERBOSE /D_CRT_SECURE_NO_WARNINGS ") list(APPEND CUDA_NVCC_FLAGS "-arch=sm_35;--compiler-options;-O2;-DVERBOSE") endif() if (UNIX) if (APPLE) set(EXTRA_CXX...
set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS};-O3 -arch=sm_30) #添加源文件 file(GLOB SOURCES "*.cu" "*.cpp") #添加可执行文件 cuda_add_executable(cuda_program ${SOURCES}) ``` 在这个示例中,我们首先指定了CMake的最低版本要求,并设置了项目的名称为"cuda_project"。然后,我们使用`find_package`...
图5、CudaTest 构建碰到了错误 结果构建碰到了错误。 错误的原因也很明白,那就是我这个程序使用了 cuBLAS 库,必须得连接相应的库文件。在之前的文章中,我是自己使用的nvcc CudaTest.cu -lcublas命令。 那么现在使用 CLion 了,而 CLion 又使用 CMake 管理项目,那么这就使得我不得不学习 CMake 了。
CMAKE error: CUDA detected: 10.1 Added CUDA NVCC flags for: sm_75 cuDNN not found Could NOT find GFlags (missing: GFLAGS_INCLUDE_DIR GFLAGS_LIBRARY) Could NOT find Glog (missing: GLOG_INCLUDE_DIR GLOG_LIBRARY) CMake Error at /usr/share/cmake-3.16/Modules/FindPackageHandleStandardArgs.cma...