![]() ![]() $ sudo apt-get install python3-dev python3-numpyĬmake를 실행합니다. $ sudo apt-get install libatlas-base-dev gfortran libeigen3-dev $ sudo apt-get install mesa-utils libgl1-mesa-dri libgtkgl2.0-dev libgtkglext1-dev $ sudo apt-get install libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev $ sudo apt-get install libv4l-dev v4l-utils $ sudo apt-get install ffmpeg libavcodec-dev libavformat-dev libswscale-dev libxvidcore-dev libx264-dev libxine2-dev $ sudo apt-get install libjpeg-dev libtiff5-dev libpng-dev $ sudo apt-get install build-essential cmake Libcudnn_cnn_infer.so.8 -> libcudnn_cnn_infer.so.8.1.0 Libcudnn_cnn_train.so.8 -> libcudnn_cnn_train.so.8.1.0 Libcudnn_ops_train.so.8 -> libcudnn_ops_train.so.8.1.0 Libcudnn_ops_infer.so.8 -> libcudnn_ops_infer.so.8.1.0 Libcudnn_adv_infer.so.8 -> libcudnn_adv_infer.so.8.1.0 Libcudnn_adv_train.so.8 -> libcudnn_adv_train.so.8.1.0 $ sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn* $ sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64 $ sudo cp cuda/include/cudnn* /usr/local/cuda/include $ sudo sh -c "echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.2/lib64' > /etc/profile" $ sudo sh -c "echo 'export PATH=$PATH:/usr/local/cuda-11.2/bin' > /etc/profile" ![]() Version은 사용중인 Ubuntu 버전을 선택하세요.įailed to verify gcc version. Model : TU116M ĭriver : nvidia-driver-460-server - distro non-freeĭriver : nvidia-driver-450-server - distro non-freeĭriver : nvidia-driver-418-server - distro non-freeĭriver : nvidia-driver-450 - distro non-freeĭriver : nvidia-driver-460 - distro non-free recommendedĭriver : xserver-xorg-video-nouveau - distro free builtin 28 CUDA 11.1, cuDNN 8.1.0으로 변경 ( Compute Capability 8.6까지 지원 )ĬheckVersions CUDART version 11020 reported by cuDNN 8100 does not match with the version reported by CUDART 11010 ![]()
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