linux之conda環(huán)境安裝全過程

更新時(shí)間：2023年05月09日 09:05:44 作者：可樂大牛

這篇文章主要介紹了linux之conda環(huán)境安裝全過程，具有很好的參考價(jià)值，希望對(duì)大家有所幫助。如有錯(cuò)誤或未考慮完全的地方，望不吝賜教

下載conda

鏈接

選擇自己想要的版本下載，如我選的是這個(gè)，下完之后挪到linux服務(wù)器中

或者，我們可以復(fù)制下載的鏈接，直接在服務(wù)器上下載，如：

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

安裝conda

在conda文件的統(tǒng)計(jì)目錄下輸入命令安裝，一路回車，直到他要求輸入yes

bash Anaconda3-2021.05-Linux-x86_64.sh

配置環(huán)境變量,這里的export PATH填的是conda的bin文件地址，我是安裝在家目錄的所以是這樣，前面一個(gè)命令是添加環(huán)境變量，后者是刷新bashrc

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

然后conda version要是正常就安裝成功了

注：三種配置環(huán)境變量的方法

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

鏡像源配置

conda配置

vim ~/.condarc

然后配置鏡像，如

channels:
  - http://mirrors.aliyun.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/anaconda/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://mirrors.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_downgrades: true

pip配置

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

然后配置鏡像，如：

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

常用命令

# 創(chuàng)建虛擬環(huán)境
conda create -n name python==3.7
# 激活環(huán)境
conda activate name
# 退出環(huán)境
conda deactivate
# 查看虛擬環(huán)境
conda info --envs
# 刪除虛擬環(huán)境
conda remove -n name --all
# 刪除所有的安裝包及cache(索引緩存、鎖定文件、未使用過的包和tar包)
conda clean -y --all
# 刪除pip的緩存
rm -rf ~/.cache/pip

安裝pytorch：

按照官網(wǎng)來，選好自己的配置之后直接復(fù)制就是了