最近搞shap混合pytorch和tensorflow在一个环境把conda环境直接搞坏了无奈重新安装并配置环境

conda下载及安装

下载稳定版本最重要
https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/
Anaconda3-2024.06-1-Windows-x86_64.exe
版本4



更换路径


环境变量-系统变量

一些常用命令

conda config --set show_channel_urls yes
之后会重新生成新的condarc文件

conda clean -i
清除索引缓存，保证用的是镜像站提供的索引

conda create --name [env_name]
创建某个环境

conda env remove --name
删除某个环境

conda deactivate
退出当前环境

conda install -c conda-forge matplotlib
使用 conda-forge 通道安装 matplotlib： conda-forge 是一个社区维护的 Conda 包仓库，提供了许多常用包的最新版本，可能解决依赖冲突问题。

conda create -p D:\ProgramData\anaconda3\envs\mix38 --clone envshap
环境克隆（创建新的放在哪的叫什么的新环境 克隆来自 旧环境）

4090 nvidia cuda 11.8

conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.8 -c pytorch -c nvidia

常见报错

以前乃至很多人的教学都是配置清华源清华镜像
但是我的存在被限制访问的问题

以及conda安装包时出现
An HTTP error occurred when trying to retrieve this URL.HTTP errors are often intermittent, and a simple retry will get you on your way.

condarc一

channels:
  - defaults
show_channel_urls: true
channel_alias: http://mirrors.tuna.tsinghua.edu.cn/anaconda
default_channels:
  - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
  - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
  - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

condarc二

channels:
  - defaults
show_channel_urls: true
channel_alias: https://anaconda.mirrors.sjtug.sjtu.edu.cn/
default_channels:
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/main
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/free
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/mro
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/msys2
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/pro
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/r
custom_channels:
  conda-forge: https://anaconda.mirrors.sjtug.sjtu.edu.cn/conda-forge
  soumith: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/soumith
  bioconda: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/bioconda
  menpo: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/menpo
  viscid-hub: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/viscid-hub
  atztogo: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/atztogo