diff --git a/cm3apps/install.txt b/cm3apps/install.txt index f19eb4404303ae653ab08a9453976550f9b57fee..48b68a813b0916d3f5b21751af6fe4c62ed5b6af 100644 --- a/cm3apps/install.txt +++ b/cm3apps/install.txt @@ -495,9 +495,40 @@ D) Install Torch wget https://download.pytorch.org/libtorch/cpu/libtorch-shared-with-deps-1.4.0%2Bcpu.zip unzip libtorch-shared-with-deps-1.4.0+cpu.zip // gpu + 1) clean up + sudo rm /etc/apt/sources.list.d/cuda* + sudo apt remove --autoremove nvidia-cuda-toolkit + sudo apt remove --autoremove nvidia-* + 2) purge + sudo apt-get purge nvidia* + sudo apt-get autoremove + sudo apt-get autoclean + sudo rm -rf /usr/local/cuda* + 3) install graphics + sudo apt update + sudo add-apt-repository ppa:graphics-drivers + sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub + sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/cuda.list' + sudo bash -c 'echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/cuda_learn.list' + sudo apt update + sudo apt install cuda-11-0 + sudo apt install libcudnn7 + add in your .bashrc + export PATH=/usr/local/cuda/bin/:$PATH + export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:$LD_LIBRARY_PATH + 4) install cudnn + download cudnn from nvidia (you need to register and downloadmanualy + https://developer.nvidia.com/compute/machine-learning/cudnn/secure/8.0.4/11.0_20200923/cudnn-11.0-linux-x64-v8.0.4.30.tgz + + + + +A +A + sudo apt-get install nvidia-cuda-toolkit //check version nvcc --version - wget https://download.pytorch.org/libtorch/cu101/libtorch-shared-with-deps-1.7.0%2Bcu101.zip + wget https://download.pytorch.org/libtorch/cu110/libtorch-shared-with-deps-1.7.0%2Bcu110.zip add export TORCHDIR=$HOME/local/libtorch in your .bashrc