![]() I’ve had trouble making the torchvision library work with arm64, so setting it to x86_64 seems to be an answer. To check, use the “arch” command in terminal and if so add the line “set(CMAKE_OSX_ARCHITECTURES “x86_64”)” to both the CMakeLists.txt file in the vision folder and for your project. By default, CMake generates an x86 project in which I couldn’t link DynamsoftBarcodeReader圆4.dll. This is likely because your processor (CPU) architecture is arm64 rather than x86_64. See the section on “Setting Up TorchVision” Undefined symbols for architecture x86_64: “vision::cuda_version()”, referenced from… #include “torchvision/vision.h” file not foundĮither you forgot to create the build folder in the vision repo using the make command or the path to the vision folder in the CMakeLists.txt file in your project is incorrect. I’ve found that uninstalling and reinstalling the mkl library in my Python environment helps with this problem. This problem seems to involve the mkl library. ![]() You may encounter some of the following errors during the installation process: library not found for -lmkl_intel_ilp64 Inside the torch-demo folder, create a “build” folder as follow Set_property (TARGET torch-demo PROPERTY CXX_STANDARD 14 ) Building and Compiling Your App Target_link_libraries (torch-demo TorchVision::TorchVision ) Target_compile_features (torch-demo PUBLIC cxx_range_for ) ![]() # The package pulls in all the necessary torch libraries, # so there is no need to also add `find_package(Torch)` here. List (APPEND CMAKE_PREFIX_PATH "/path/to/opencv/vision" ) # The first thing do is to tell cmake to find the TorchVision library. Include_directories ( $ ) # This due to LibTorch's version is the one included in the Python # package that links to Python.įind_package (Python3 COMPONENTS Development ) # Add torchvision libraries List (APPEND CMAKE_PREFIX_PATH "/path/to/vision" ) # set OpenCV_DIR variable equal to the path to the cmake # files within the previously installed opencv program set (OpenCV_DIR /path/to/opencv/install/lib/cmake/opencv4 ) # Tell compiler to use C++ 14 features which is needed because # Clang version is often behind in the XCode installation set (CMAKE_CXX_STANDARD 14 ) # configure the necessary common CMake environment variables # needed to include and link the OpenCV program into this # demo project, namely OpenCV_INCLUDE_DIRS and OpenCV_LIBSįind_package ( OpenCV REQUIRED ) # tell the build to include the headers from OpenCV With recent versions of CMake (3.18, didnt work with 3.14) and a fresh installation of MacOS (with developer CL tools installed, of course), brew install libomp was the only action needed to make things work. List (APPEND CMAKE_PREFIX_PATH "/path/to/libtorch" ) Project (torch-demo ) #set(CMAKE_OSX_ARCHITECTURES "x86_64") Make sure that you do one of the following things: Use cmakeminimumrequired to require CMake 3. If you are using CMake and clang to target macOS there is a bug that can cause the CMAKECXXSTANDARD feature to simply not work (not add any compiler flags). # CMakeLists.txt # Older versions of CMake are likely to work just fine but, since # I don't know where to cut off I just use the version I'm usingĬmake_minimum_required (VERSION "3.17" ) # name of this example project CMake issue 15943 for clang users targeting macOS.
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