python3.6
cudnn7.1.3
keras和tensorflow
graphviz
Opencv
阿里云 弗吉尼亚地区 ecs.gn5-c4g1.xlarge型号
OS:ubuntu 16.04
CPU: 4 vCPU
GPU: Nvidia P100 (12 GiB 显存)
安装python3
sudo apt-get install -y software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt-get update
sudo apt-get install -y python3.6
修改默认python为python3.6
移除软连接,建立新的软连接
rm -rf /usr/bin/python
ln -s /usr/bin/python3.6 /usr/bin/python
配置pip3为默认pip
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python get-pip.py
pip install --upgrade pip
安装的CUDA
在https://developer.nvidia.com/cuda-toolkit-archive)下载CUDA9.0
(注意,官网下载链接是xxxxxxxxxxxxxxxxxx-deb,给的安装指导是xxxxxxxxxxxxxxxxxx.deb.你们注意区别)
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb
sudo dpkg -i cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb
sudo apt-key add /var/cuda-repo-9-0-local/7fa2af80.pub
sudo apt-get update
安装cudnn
下载cudnn
需要登录developer.nvidia.com。在https://developer.nvidia.com/rdp/cudnn-download 选择 cuDNN v7.1.3 Runtime Library for Ubuntu16.04 (Deb)
sudo dpkg -i libcudnn7_7.1.3.16-1+cuda9.0_amd64.deb
安装keras和tensorflow
pip install keras
可视化工具安装
sudo apt-get install -y graphviz
Opencv安装
pip install opencv-python
文章评论