Other information that may be of use: I run gcc 9.3.0, g++ 9.3.0, cudatoolkit 10.1.243, and cudnn 7.6.5. However, I am not too knowledgeable about programming, let alone cmake. My best idea so far is to set CMAKE_BUILD_WITH_INSTALL_RPATH to TRUE. Build files cannot be regenerated correctly. The CMAKE_BUILD_WITH_INSTALL_RPATH variable mayĬMake Generate step failed. The build tree, but this is not supported with the Ninja generator unless ![]() The install of the caffe2_observers target requires changing an RPATH from Some of these libraries may not be found correctly.ĬMake Error at modules/observers/CMakeLists.txt:12 (add_library): Runtime library in /usr/lib/x86_64-linux-gnu may be hidden by files in: home/mareike/miniconda3/envs/ginjinn/lib ![]() However, I am getting an error while compiling:ĬMake Warning at modules/observers/CMakeLists.txt:12 (add_library):Ĭannot generate a safe runtime search path for target caffe2_observersīecause files in some directories may conflict with libraries in implicitĭirectories: runtime library in /usr/lib/x86_64-linux-gnu may be hidden by files in: I have so far followed the instructions specified on github ( GitHub - pytorch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration). ![]() My understanding is that I need to install pytorch from source code to avoid the “CUDA error: no kernel image is available for execution on this device” warning. My computer has a GeForceGT710 graphics card (OS Linux Mint).
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