conda命令记录

最好以管理员身份运行

# 创建
conda create -n env_name python=x.x
# 删除
conda remove -n env_name --all

# 激活
conda activate env_name
# 关闭
conda deactivate
 

# 查看指定环境下已安装的package
conda list -n env_name
# 安装指定环境下某个package
conda install -n env_name [package]
# 删除指定环境下某个package
conda remove -n env_name [package]
# 更新指定环境下某个package
conda update -n env_name [package]

换源
.condarc文件改为以下：

channels:
  - https://mirrors.aliyun.com/anaconda/cloud/ursky
  - https://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
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
  - defaults
show_channel_urls: true
channel_alias: https://mirrors.tuna.tsinghua.edu.cn/anaconda
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
ssl_verify: true
remote_read_timeout_secs: 6000.0


设置timeout时间：
remote_read_timeout_secs: 6000.0

修改完完成更新的配置：
conda config --set show_channel_urls yes

查看当前源：
conda config --get channels

安装pytorch

conda install pytorch torchvision cudatoolkit=10.2 

测试：
import torch
torch.cuda.is_available()

删除整个环境

conda remove -n pytorch--all

conda clean 命令

conda clean -p      //删除没有用的包（推荐）
conda clean -t      //tar打包
conda clean -y -all //删除全部的安装包及cache
conda clean -i, --index-cache     //Remove index cache.

更新conda

conda update conda