如何配置深度学习系统

#下载和安装anaconda
wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-5.2.0-Linux-x86_64.sh
bash Anaconda3-5.2.0-Linux-x86_64.sh

#切换到清华源,加快下载速度
wget https://tuna.moe/oh-my-tuna/oh-my-tuna.py
python oh-my-tuna.py

conda create --name py36 python=3.6 #创建环境
conda activate py36 #激活环境
conda deactivate py36 #退出环境
conda remove --name py36 --all #删除环境
conda info -e #查看系统中的所有环境

conda search tensorflow

conda clean -p      //删除没有用的包
conda clean -t      //清理tar

#安装系统查看器
pip install glances

conda install tensorflow-gpu==1.14.0
#conda install tensorflow-gpu //默认是2.0版本
conda install keras

conda install pytorch torchvision cudatoolkit=10.0

wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64/cudnn-7.3.1-cuda10.0_0.tar.bz2
conda install cudnn-7.3.1-cuda10.0_0.tar.bz2 #本地安装
wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/linux-64/cudatoolkit-10.0.130-0.tar.bz2
conda install cudatoolkit-10.0.130-0.tar.bz2 #本地安装

wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64/pytorch-1.3.0-py3.6_cuda10.0.130_cudnn7.6.3_0.tar.bz2
conda install pytorch-1.3.0-py3.6_cuda10.0.130_cudnn7.6.3_0.tar.bz2