我无法解决我遇到的一个特定问题：我无法找出罪魁祸首。
系统：Jetson TX1，arm64内核，32b用户空间，opencv4tegra
情况：一直在使用构建项目
find_package( OpenCV )
这已经很好地完成了。
故障：我从源代码构建并安装了CMake 3.5.2。现在我不能再构建任何依赖OpenCV的项目了。我得到链接器错误，点找不到：
opencv_dep_cudart
我假设问题是由OpenCVCConfig.cmake引起的，大约在这一点上：
# Import target "opencv_core" for configuration "Release"
set_property(TARGET opencv_core APPEND PROPERTY IMPORTED_CONFIGURATIONS RELEASE)
set_target_properties(opencv_core PROPERTIES
IMPORTED_LINK_INTERFACE_LIBRARIES_RELEASE "opencv_dep_cudart;opencv_dep_nppc;opencv_dep_nppi;opencv_dep_npps;dl;m;pthread;rt;tbb"
IMPORTED_LOCATION_RELEASE "${_IMPORT_PREFIX}/lib/libopencv_core.so.2.4.12"
IMPORTED_SONAME_RELEASE "libopencv_core.so.2.4"
)
文件外：/usr/share/OpenCV/OpenCVModules-release.cmake
但是，该文件在CMake版本之间不会更改，因为它是一个OpenCV文件。所以它一定是这样处理的。
手动将我的CMake恢复到2.8.12.2允许我再次构建。下面是一个使用OpenCV的make命令示例。注意正确的cuda libs:
Linking CXX executable DuoInterfaceTest
/usr/local/bin/cmake -E cmake_link_script CMakeFiles/DuoInterfaceTest.dir/link.txt --verbose=1
/usr/bin/c++ -O2 -g -DNDEBUG -std=gnu++11 CMakeFiles/DuoInterfaceTest.dir/src/mainTest.cpp.o -o DuoInterfaceTest -L/home/ubuntu/catkin_ws/duointerface/lib/linux/arm -rdynamic libDuoInterface.a /usr/lib/libopencv_vstab.so.2.4.12 /usr/lib/libopencv_tegra.so.2.4.12 /usr/lib/libopencv_imuvstab.so.2.4.12 /usr/lib/libopencv_facedetect.so.2.4.12 /usr/lib/libopencv_esm_panorama.so.2.4.12 /usr/lib/libopencv_detection_based_tracker.so.2.4.12 /usr/lib/libopencv_videostab.so.2.4.12 /usr/lib/libopencv_video.so.2.4.12 /usr/lib/libopencv_ts.a /usr/lib/libopencv_superres.so.2.4.12 /usr/lib/libopencv_stitching.so.2.4.12 /usr/lib/libopencv_photo.so.2.4.12 /usr/lib/libopencv_objdetect.so.2.4.12 /usr/lib/libopencv_ml.so.2.4.12 /usr/lib/libopencv_legacy.so.2.4.12 /usr/lib/libopencv_imgproc.so.2.4.12 /usr/lib/libopencv_highgui.so.2.4.12 /usr/lib/libopencv_gpu.so.2.4.12 /usr/lib/libopencv_flann.so.2.4.12 /usr/lib/libopencv_features2d.so.2.4.12 /usr/lib/libopencv_core.so.2.4.12 /usr/lib/libopencv_contrib.so.2.4.12 /usr/lib/libopencv_calib3d.so.2.4.12 /usr/lib/libopencv_tegra.so.2.4.12 /usr/lib/libopencv_stitching.so.2.4.12 /usr/lib/libopencv_gpu.so.2.4.12 /usr/lib/libopencv_photo.so.2.4.12 /usr/lib/libopencv_legacy.so.2.4.12 /usr/local/cuda-7.0/lib/libcufft.so /usr/lib/libopencv_video.so.2.4.12 /usr/lib/libopencv_objdetect.so.2.4.12 /usr/lib/libopencv_ml.so.2.4.12 /usr/lib/libopencv_calib3d.so.2.4.12 /usr/lib/libopencv_features2d.so.2.4.12 /usr/lib/libopencv_highgui.so.2.4.12 /usr/lib/libopencv_imgproc.so.2.4.12 /usr/lib/libopencv_flann.so.2.4.12 /usr/lib/libopencv_core.so.2.4.12 /usr/local/cuda-7.0/lib/libcudart.so /usr/local/cuda-7.0/lib/libnppc.so /usr/local/cuda-7.0/lib/libnppi.so /usr/local/cuda-7.0/lib/libnpps.so -ldl -lm -lpthread -lrt -ltbb -lDUO -Wl,-rpath,/home/ubuntu/catkin_ws/duointerface/lib/linux/arm:/usr/local/cuda-7.0/lib
想法？我希望能够在我的系统中保留较新的CMake，但我对解决问题的理解不够。如果你认为这个系统太独特，我会撤回这个问题。
正如Michael Mairegger所指出的，您必须通过执行在构建目录中cmake
sudo cmake .. -DCUDA_USE_STATIC_CUDA_RUNTIME=false
但我注意到的一件额外的事情是，如果我之后尝试make，它将不起作用，除非我执行两次cmake命令。