CUDA CMakeLists

0.引言

  • gcc:編譯c文件
  • g++:編譯cpp文件
  • nvcc:編譯cu文件

如何編譯帶有CUDA程序的*.cpp文件?

1.CMakeLists.txt

cmake_minimum_required(VERSION 2.8)
project(tsdf)

# packages
find_package(CUDA REQUIRED)
if(${CUDA_FOUND})
	set(CUDA_SOURCE_PROPERTY_FORMAT OBJ)
	set(CUDA_SEPARABLE_COMPILATION ON)
	include_directories(${CUDA_INCLUDE_DIRS})
	set(CUDA_PROPAGATE_HOST_FLAGS OFF)
	set(CUDA_NVCC_FLAGS -arch=sm_61;-O3;-G;-g;-std=c++11)#根據具體GPU性能更改算力參數
	#SET(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS};-gencode arch=compute_61,code=sm_61;-std=c++11;-O3;-G;-g)
	link_directories($ENV{CUDA_PATH}/lib/x64)
else(${CUDA_FOUND})
	MESSAGE(STATUS "cuda not found!")
endif(${CUDA_FOUND})

find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})

file(GLOB_RECURSE CURRENT_HEADERS  *.h *.hpp *.cuh)
file(GLOB CURRENT_SOURCES  *.cpp *.cu)
set_source_files_properties(tsdf.cpp PROPERTIES CUDA_SOURCE_PROPERTY_FORMAT OBJ)
source_group("Include" FILES ${CURRENT_HEADERS})
source_group("Source" FILES ${CURRENT_SOURCES})

cuda_add_executable(tsdf  ${CURRENT_HEADERS} ${CURRENT_SOURCES} )
target_link_libraries(tsdf ${OpenCV_LIBS})
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