使用SJTU的Anaconda镜像
清华TUNA的Anaconda镜像不稳，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
conda config --set show_channel_urls yes
在/usr下生成.condarc文件，然后将其内容替换为
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😂