[转] conda安装torch出现链接错误

使用清华镜像，具体方法如下：

from https://blog.csdn.net/ada0915/article/details/78529877

 

问题：conda无法安装更新，报错内容如下：
参考链接：conda httperror http none none for url none Anaconda更新失败

 

conda create -n tensorflow python=3.5

 

Fetching package metadata .......
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://nanomirrors.tuna.tsinghua.edu.cn/anaconda/cloud/linux-64/rpodata.json>
Elapsed: -

 

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.
ConnectTimeout(MaxRetryError("HTTPSConnectionPool(host='nanomirrors.tuna.tsinghua.edu.cn', port=443): Max retries exceded with url: /anaconda/cloud/linux-64/repodata.json (Caused by ConnectTimeoutError(<requests.packages.urllib3.connecton.VerifiedHTTPSConnection object at 0x7fb6d340dcc0>, 'Connection to nanomirrors.tuna.tsinghua.edu.cn timed out. (connct timeout=9.15)'))",),)
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解决方法：

 

#首先先添加清华的镜像源
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --set show_channel_urls yes

 

#如果无法解决，则删除channels配置文件中部分内容

 

#具体操作如下:
#1、快速创建channels配置文件的备份(保险起见)
cp ~/.condarc{,.bak}

 

#查看配置文件的内容
cat ~/.condarc.bak
channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
- https://nanomirrors.tuna.tsinghua.edu.cn/anaconda/cloud
- defaults
- https://nanomirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda
- https://nanomirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/conda
- bioconda
- r
- conda-forge
show_channel_urls: true

 

#2、删除部分内容
## 主要是删除此行： - defaults
#修改后配置文件的内容如下：
vim ~/.condarc
channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
show_channel_urls: true
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原文链接：https://blog.csdn.net/ada0915/article/details/78529877