要控制 CMake 中的可分离编译,请按如下方式打开目标的CUDA_SEPARABLE_COMPILATION属性。 set_target_properties(particles PROPERTIES CUDA_SEPARABLE_COMPILATION ON) 高级提示 如果需要在共享库或可执行文件使用之前发生可分离编译设备链接,则可以通过设置 target 属性CUDA_RES
您可以通过CMAKE_CUDA_STANDARD或target_compile_features命令轻松地要求特定版本的 CUDA 编译器。为了使target_compile_features更容易与 CUDA 一起使用, CMake 使用了 CUDA C ++的同一组 C ++特征关键字。下面的代码展示了如何请求 C ++ 11 对particles目标的支持,这意味着粒子目标所使用的任何 CUDA 文件都会被 ...
也可以通过CMAKE_CUDA_COMPILER_VERSION 变量来判断CUDA的版本号。 CUDA相关的变量 添加源代码 和正常往C/C++工程中添加.cpp .h 文件一样,只不过文件格式是.cu。 add_executable(CMake_CUDA_Test test.cu CUDA_SEPARABLE_COMPILATION ON) CUDA_SEPARABLE_COMPILATION参数用于判断是否开启分离编译,即...
CMAKE_BUILD_WITH_INSTALL_RPATH CMAKE_COMPILE_PDB_OUTPUT_DIRECTORY CMAKE_COMPILE_PDB_OUTPUT_DIRECTORY_ CMAKE_POSTFIX CMAKE_CUDA_SEPARABLE_COMPILATION CMAKE_DEBUG_POSTFIX CMAKE_ENABLE_EXPORTS CMAKE_EXE_LINKER_FLAGS CMAKE_EXE_LINKER_FLAGS CMAKE_EXE_LINKER_FLAGS_INIT CMAKE_EXE_LINKER_FLAGS_INIT...
target_compile_features(mylib PUBLIC cxx_std_11) SET(CMAKE_CXX_STANDARD 11) SET(CMAKE_CUDA_STANDARD 11) set_target_properties( mylib PROPERTIES CUDA_SEPARABLE_COMPILATION ON) add_executable(test_mylib test.cpp) target_link_libraries(test_mylib mylib ${CUDA_CUFFT_LIBRARIES}) ...
#SET(CUDA_SEPARABLE_COMPILATION ON) cuda_add_executable(cudasift ${cuda_sources} ${sources} OPTIONS -arch=sm_35) #cuda_add_executable(l2net l2netD.cu OPTIONS -arch=sm_35) set_target_properties(cudasift PROPERTIES COMPILE_FLAGS "${EXTRA_CXX_FLAGS}") #告诉CMake我要链接哪个库文件 target_li...
set(CMAKE_CUDA_SEPARABLE_COMPILATION ON) add_compile_definitions(GGML_CUDA_DMMV_X=${LLAMA_CUDA_DMMV_X}) add_compile_definitions(GGML_CUDA_MMV_Y=${LLAMA_CUDA_MMV_Y}) if (DEFINED LLAMA_CUDA_DMMV_Y) 0 comments on commit 09e35d0 Please sign in to comment. Footer...
cmake_minimum_required(VERSION3.17)project(cuda_hello_worldCUDA)set(CMAKE_CUDA_STANDARD14)add_executable(${PROJECT_NAME}test.cu)set_target_properties(${PROJECT_NAME}PROPERTIESCUDA_SEPARABLE_COMPILATIONON) test.cu: #include<stdio.h>__global__voidMyCudaPrint();__global__voidMyCudaPrint(){unsigned...
PROPERTIESPOSITION_INDEPENDENT_CODEON)set_target_properties(${PROJECT_NAME}PROPERTIESCUDA_SEPARABLE_COMPILATIONON)target_include_directories(${PROJECT_NAME}PRIVATE${PRJ_INCLUDE_DIRS})target_link_libraries(${PROJECT_NAME}PRIVATE${PRJ_LIBRARIES})target_compile_features(${PROJECT_NAME}PRIVATE${PRJ_COMPILE_...
# We need to explicitly state that we need all CUDA files in this # library to be built with -dc as the member functions could be called by # other libraries and executables #set_property(TARGET ${TARGET_NAME} PROPERTY CUDA_SEPARABLE_COMPILATION ON) ...