使用SJTU的Anaconda镜像

清华的Anaconda镜像在华东地区是好是坏，好的时候一切顺利，坏的时候一个24K的包下5分钟；Anaconda的官方源则更惨，连repo.json都下不下来；
今天又是清华的源大姨妈的一天：Pytorch下载到100MB就超时，折腾了三个小时也装不上。而同在华东的SJTU的镜像就很稳定，这次全线换成SJTU啦。

首先执行

1

conda config --set show_channel_urls yes

在/usr下生成.condarc文件，然后将其内容替换为

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17


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/r
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/pro
  - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/msys2
custom_channels:
  conda-forge: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud
  msys2: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud
  bioconda: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud
  menpo: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud
  pytorch: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud
  simpleitk: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud

再运行conda clean -i清除索引缓存即可。终于装上Pytorch了，可喜可贺😂