In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
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git init # 初始化本地git仓库(创建新仓库) | |
git config --global user.name "xxx" # 配置用户名 | |
git config --global user.email "xxx@xxx.com" # 配置邮件 | |
git config --global color.ui true # git status等命令自动着色 | |
git config --global color.status auto | |
git config --global color.diff auto | |
git config --global color.branch auto | |
git config --global color.interactive auto | |
git config --global --unset http.proxy # remove proxy configuration on git | |
git clone git+ssh://git@192.168.53.168/VT.git # clone远程仓库 |
- Login to Server and Check GPU
- Install Anaconda
- Download CUDNN and Add Environment Path
- Install and Test Tensorflow with Keras
- Install and Test PyTorch
First, book the GPU here. SSH to the server and start the GPU container by
export CC=/path/to/gcc
export CXX=/path/to/g++
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