对于一个全新的Ubuntu20.04系统，我们将使用这个脚本安装GPU驱动、CUDA11.0、cudnn11.2、Python、Pytorch和Opencv。
注意，请首先手动下载cudnn11.2 地址：https://developer.nvidia.com/rdp/cudnn-download
注意，请首先手动下载cudnn11.2 地址：https://developer.nvidia.com/rdp/cudnn-download
注意，请首先手动下载cudnn11.2 地址：https://developer.nvidia.com/rdp/cudnn-download
Attention！Please download cudnn11.2 manually URL：https://developer.nvidia.com/rdp/cudnn-download
Attention！Please download cudnn11.2 manually URL：https://developer.nvidia.com/rdp/cudnn-download
Attention！Please download cudnn11.2 manually URL：https://developer.nvidia.com/rdp/cudnn-download
因为，使用cudnn必须接受nvidia的许可并同意nvidia的使用条款。如果只追求“一键安装”，那么很容易地把nvidia的cudnn上传到github或者googledrive，然后使用wget下载。但这可能是违反nvidia规定的。
Shell script
# CUDA installation
# Version==11.0
# Method 1
# Nvidia Driver installation
# sudo apt install nvidia-driver-450
# sudo reboot
# wget https://developer.download.nvidia.com/compute/cuda/11.0.3/local_installers/cuda_11.0.3_450.51.06_linux.run
# sudo sh cuda_11.0.3_450.51.06_linux.run
# Method 2
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
sudo apt-get update
nvcc --version
# Download cuDNN from Nvidia: https://developer.nvidia.com/rdp/cudnn-download for version 10.1
echo "Please download cuDNN from https://developer.nvidia.com/rdp/cudnn-download"
tar -xzvf cudnn-11.2-linux-x64-v8.1.0.77.tgz
sudo cp cuda/include/cudnn*.h /usr/local/cuda/include
sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2
# Add the following line to ~/.bashrc
echo "export PATH=PATH:/usr/local/cuda-11.0/bin" >> ~/.bashrc
echo "export LD_LIBRARY_PATH=LD_LIBRARY_PATH:/usr/local/cuda-11.0/lib64" >> ~/.bashrc
source ~/.bashrc
# Install Conda
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
sudo bash ./Miniconda3-latest-Linux-x86_64.sh
export ANACONDA_HOME=/usr/lib/miniconda3/
echo "export PATH=PATH:ANACONDA_HOME/bin" >> ~/.bashrc
source ~/.bashrc
# Install Pytorch
conda install pytorch torchvision torchaudio cudatoolkit=11.0 -c pytorch
# Install Opencv
sudo apt update
sudo apt install libopencv-dev python3-opencv
pip install opencv-python
文章评论