linux之conda环境安装全过程_运维_开发者

开发者 https://www.devze.com 2023-05-09 09:57 出处：网络作者：可乐大牛

目录下载conda安装conda镜像源配置conda配置pip配置常用命令注意事项总结下载conda

下载conda

链接

选择自己想要的版本下载，如我选的是这个，下完之后挪到linux服务器中

linux之conda环境安装全过程

或者，我们可以复制下载的链接，直接在服务器上下载，如：

wget -c https://repo.anaconda.com/archive/Anaconda3-2021.05-Linux-x86_64.sh

安装conda

在conda文件的统计目录下输入命令安装，一路回车，直到他要求输入yes

bash Anaconda3-2021.05-Linux-x86_64.sh

linux之conda环境安装全过程

配置环境变量,这里的export PATH填的是conda的bin文件地址，我是安装在家目录的所以是这样，前面一个命令是添加环境变量，后者是刷新bashrc

export PATH=~/anaconda3/bin:$PATHsource ~/.bashrc

然后conda version要是正常就安装成功了

注：三种配置环境变量的方法

修改/etc/profile
修改.bashrc
直接在shell下用export命令修改

镜像源配置

conda配置

vim ~/.condarchttp://www.devze.com

然后配置镜像，如

channels:
  - http://mirrors.alijsyun.com/anaconda/cloud/stackless
  - https://mirrors.aliyun.com/anaconda/cloud/simpleitk
  - https://mirrors.aliyun.com/anaconda/cloud/rdkit
  - https://mirrors.aliyun.com/anaconda/cloud/rapidsai
  - https://mirrors.aliyun.com/anaconda/cloud/qiime2
  - https://mirrors.aliyun.com/anaconda/cloud/pyviz
  - https://mirrors.aliyun.com/anaconda/cloud/pytorch3d
  - https://mirrors.aliyun.com/anaconda/cloud/pytorch-test
  - https://mirrors.aliyun.com/anaconda/cloud/pytorch
  - https://mirrors.aliyun.com/anaconda/cloud/psi4
  - https://mirrors.aliyun.com/anaconda/cloud/plotly
  - https://mirrors.aliyun.com/anaconda/cloud/omnia
  - https://mirrors.aliyun.com/anaconda/cloud/ohmeta
  - https://mirrors.aliyun.com/www.devze.comanaconda/cloud/numba
  - https://mirrors.aliyun.com/anaconda/cloud/msys2
  - https://mirrors.aliyun.com/anaconda/cloud/mordred-descriptor
  - https://mirrors.aliyun.com/anaconda/cloud/menpo
  - https://mirrors.aliyun.com/anaconda/cloud/matsci
  - https://mirrors.aliyun.com/anaconda/cloud/intel
  - https://mirrors.aliyun.com/anaconda/cloud/idaholab
  - https://mirrors.aliyun.com/anaconda/cloud/fermi
  - https://mirrors.aliyun.com/anaconda/cloud/fastai
  - https://mirrors.aliyun.com/anaconda/cloud/dglteam
  - https://mirrors.aliyun.com/anaconda/cloud/deepmodeling
  - https://mirrors.aliyun.com/anaconda/cloud/conda-forge
  - https://mirrors.aliyun.com/anaconda/cloud/caffe2
  - https://mirrors.aliyun.com/anaconda/cloud/c4aarch64
  - https://mirrors.aliyun.com/anaconda/cloud/bioconda
  - https://mirrors.aliyun.com/anaconda/cloud/biobakery
  - https://m编程客栈irrors.aliyun.com/anaconda/cloud/auto
  - https://mirrors.aliyun.com/anaconda/cloud/Paddle
  - https://mirrors.aliyun.com/anaconda/pkgs/r
  - https://mirrors.aliyun.com/anaconda/pkgs/msys2
  - https://mirrors.aliyun.com/anaconda/pkgs/main
  - https://mirrors.aliyun.com/anaconda/pkgs/free
show_channel_urls: true
ssl_verify: true
allow_conda_开发者_网络downgrades: true

pip配置

mkdir ~/.pip
cd ~/.pip/
vim pip.conf

然后配置镜像，如：

[global] 
index-url = http://mirrors.aliyun.com/pypi/simple/ 
[install] 
trusted-host=mirrors.aliyun.com

常用命令

# 创建虚拟环境
conda create -n name python==3.7
# 激活环境
conda activate name
# 退出环境
conda deactivate
# 查看虚拟环境
conda info --envs
# 删除虚拟环境
conda remove -n name --all
# 删除所有的安装包及cache(索引缓存、锁定文件、未使python用过的包和tar包)
conda clean -y --all
# 删除pip的缓存
rm -rf ~/.cache/pip

安装pytorch：

按照官网来，选好自己的配置之后直接复制就是了

linux之conda环境安装全过程