Hello I was working on a C++ project, and had a cmake file that was working just fine, until I tried to add cuda into the C++ project. I am building this project on the NVIDIA Jetson Nano.
I get this error while building:
nvlink fatal : Could not open input file 'CMakeFiles/MY_APP.dir/src/MY_APP.cpp.o' (target: sm_35)
The rest of the error underneath that looks like this:
CMakeFiles/MY_APP.dir/build.make:552: recipe for target
'CMakeFiles/MY_APP.dir/cmake_device_link.o' failed
make[2]: *** [CMakeFiles/MY_APP.dir/cmake_device_link.o] Error 1
make[2]: Leaving directory '/home/me/Code/MyApp/build'
CMakeFiles/Makefile2:127: recipe for target 'CMakeFiles/MY_APP.dir/all' failed
make[1]: *** [CMakeFiles/MY_APP.dir/all] Error 2
make[1]: Leaving directory '/home/me/Code/MY_APP/build'
Makefile:155: recipe for target 'all' failed
make: *** [all] Error 2
make: Leaving directory '/home/me/Code/MY_APP/build'
I run my cmake file using a script I called confgure.sh, which looks like this:
#!/bin/sh
cmake -S . -B build -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-10.2 -DCMAKE_CUDA_COMPILER=/usr/local/cuda-10.2/bin/nvcc
I run my make file using a script I called build.sh, which looks like this:
#!/bin/sh
make -C build
My Cmake File looks like this:
cmake_minimum_required(VERSION 3.21.0)
project(MY_APP VERSION 0.0.0)
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)
enable_language(CUDA)
# Pass options to NVCC
set(
CUDA_NVCC_FLAGS
${CUDA_NVCC_FLAGS};
-O3 -gencode arch=compute_35,code=sm_35
)
set(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc)
FILE(GLOB_RECURSE MY_CUDA_SRCS src/*.cu)
configure_file(src/MyAppConfig.h.in MyAppConfig.h)
#collect cpp files
FILE(GLOB_RECURSE SRC src/*.cpp)
find_package(CUDA QUIET)
if(CUDA_FOUND)
SET(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc)
include_directories(${CUDA_INCLUDE_DIRS})
get_filename_component(CUDA_LIBRARY_DIR ${CUDA_CUDART_LIBRARY} DIRECTORY)
set(CMAKE_EXE_LINKER_FLAGS ${CMAKE_EXE_LINKER_FLAGS} "-L${CUDA_LIBRARY_DIR}")
SET(ALL_CUDA_LIBS ${CUDA_LIBRARIES} ${CUDA_cusparse_LIBRARY} ${CUDA_cublas_LIBRARY})
#${CUDA_CUDART_LIBRARY}
#${CMAKE_CUDA_RUNTIME_LIBRARY}
#)
SET(LIBS ${LIBS} ${ALL_CUDA_LIBS})
message(STATUS "CUDA_LIBRARIES: ${CUDA_INCLUDE_DIRS} ${ALL_CUDA_LIBS}")
set(CUDA_PROPAGATE_HOST_FLAGS ON)
set(CUDA_SEPARABLE_COMPILATION ON)
list(APPEND CUDA_NVCC_FLAGS -gencode=arch=compute_35,code=sm_35)
#collect CUDA files
FILE(GLOB_RECURSE CUDA_SRC src/*.cu)
#build static library
#CUDA_ADD_LIBRARY(my_cuda_lib ${CUDA_SRC} STATIC)
cuda_compile(cuda_objs ${CUDA_SRC})
SET(SRC ${cuda_objs} ${SRC})
SET(LIBS ${LIBS} ${my_cuda_lib})
endif()
link_libraries(${cuda_objs})
set_source_files_properties(${SRC} PROPERTIES LANGUAGE CUDA)
message("using cuda_add_executable")
cuda_add_executable(${PROJECT_NAME} ${SRC})
target_include_directories(${PROJECT_NAME} PUBLIC ${PROJECT_BINARY_DIR})
target_link_libraries(${PROJECT_NAME} ${LIBS})
#DOWNLOAD ALL THE SUBMODULES
find_package(Git QUIET)
if (GIT_FOUND AND EXISTS "${PROJECT_SOURCE_DIR}/.git")
# Update submodules as needed
option(GIT_SUBMODULE, "Check submodules during build" ON)
if (GIT_SUBMODULE)
message(STATUS "Submodule update")
execute_process(COMMAND ${GIT_EXECUTABLE}
submodule update --init --recursvie
WORKING_DIRECTORY {CMAKE_CURRENT_SOURCE_DIR}
RESULT_VARIABLE_GIT_SUBMOD_RESULT)
if (NOT GIT_SUBMOD_RESULT EQUAL "0")
message(FATAL_ERROR
"git submodule update --init failed with ${GIT_SUMOD_RESULT},
please check submodule")
endif()
endif()
endif()
#CHECK ALL THE SUBMODULES
if (NOT EXISTS
"${PROJECT_SOURCE_DIR}/external/Simple-Websocket-Server/CMakeLists.txt")
message(FATAL_ERROR
"The Simple-Websocket-Server submodule was not downloaded!
GIT_SUBMODULE was turned off or failed. Please update submodule")
endif()
add_subdirectory(external/Simple-Websocket-Server)
include_directories(PUBLIC external/Simple-Websocket-Server)
find_package(PythonLibs REQUIRED)
find_package(pybind11 REQUIRED)
include_directories(${PYTHON_INCLUDE_DIRS})
target_link_libraries(${PROJECT_NAME}
curl pthread crypto boost_system jsoncpp ${PYTHON_LIBRARIES} cudart
#<some-of-my-other-libraries>
)
install(TARGETS ${PROJECT_NAME} DESTINATION bin)
install(FILES "${PROJECT_BINARY_DIR}/MyAppConfig.h" DESTINATION include)
include(InstallRequiredSystemLibraries)
set(CPACK_RESOURCE_FILE_LICENSE "${CMAKE_CURRENT_SOURCE_DIR}/License.txt")
set(CPACK_PACKAGE_VERSION_MAJOR "${MY_APP_VERSION_MAJOR}")
set(CPACK_PACKAGE_VERSION_MINOR "${MY_APP_VERSION_MAJOR}")
set(CPACK_PACKAGE_VERSION_PATCH "${MY_APP_VERSION_PATCH}")
include(CPack)
set(CMAKE_CUDA_COMPILE_WHOLE_COMPILATION
"${CMAKE_CUDA_COMPILER} ${_CMAKE_CUDA_EXTRA_FLAGS} -c ${MY_CUDA_SRCS}")
message(CMAKE_CUDA_COMPILE_WHOLE_COMPILATION)
I am lost on how to get CUDA added to my project that already contains a bunch of C++ files, and I need to be able to call my .cu files from a .cpp file other then main.cpp, and I need to get this building in CMake, and I am doing it on the jetson nano. Any help on solving this error?
You are mixing up a lot of CUDA-related definitions and commands, including some from an earlier "era" of CUDA support in CMake.
Among other things:
CMakeLists.txt is overriding your environment setting for the CUDA compiler location.find_package(CUDA) with CMake versions of 3.17 or 3.18, or later. For all relevant toolkit-related paths, use find_package(CUDAToolkit)`, which does... well, less but also more.cuda_add_+suffix commands. Since CMake supports CUDA natively, you use regular add_executable, add_library etc.There are further issues with your CMakeLists.txt file - not all of them CUDA-related, but that should be enough to get you started. It may not in itself resolve the specific bottom-line problem you have, though.
You may want to have a look at public repositories using CUDA and recent CMake versions to get an idea of how this is done.