Windows+Anaconda快速升级文件包（速查）

落日映苍穹つ 2024-04-18 23:00 2阅读 0赞

最近pytorch版本已经到1.20了，我还在用老版本，半年没怎么动anaconda了，决定升级新版本，  
  
但网络总是碰到问题，见怪不怪，不过每升级一次，问题都类似，所以记录一下自己的办法，也算是来个速查吧！

关于如何离线下载并安装，参考此贴的离线安装部分即可：[https://blog.csdn.net/tanmx219/article/details/82814738][https_blog.csdn.net_tanmx219_article_details_82814738]

注意我这里没有配置国内镜像，主要是以前使用镜像，貌似使用anaconda的过程中会有些其他麻烦，现在也想不起来，所以依然采取不使用镜像的办法来实现快速安装。

# #

## **要做的事很简单** ##

主要事件就是下载文件包，完成后，拷贝pytorch-1.2.0-py3.7\_cuda100\_cudnn7\_1.tar.bz2文件到D:\\Anaconda3\\pkgs，然后有两件事必须做，

其一是urls.txt要填好下载地址，我也不知道填哪个，两个都填上了，

https://anaconda.org/pytorch/pytorch/1.2.0/download/win-64/pytorch-1.2.0-py3.7\_cuda100\_cudnn7\_1.tar.bz2  
https://conda.anaconda.org/pytorch/win-64/pytorch-1.2.0-py3.7\_cuda100\_cudnn7\_1.tar.bz2

其二是解压缩（不解压缩的话，conda会默认为没有下载完成，然后删除原文件再重新下载）

# #

## 大致做事的过程 ##

下面是我安装时的过程，

(torch) C:\Users\Administrator>conda install pytorch torchvision -c pytorch
    Collecting package metadata: done
    Solving environment: done
    
    
    ==> WARNING: A newer version of conda exists. <==
      current version: 4.6.14
      latest version: 4.7.11
    
    Please update conda by running
    
        $ conda update -n base -c defaults conda
    
    ## Package Plan ##
    
      environment location: d:\Anaconda3\envs\torch
    
      added / updated specs:
        - pytorch
        - torchvision
    
    
    The following packages will be downloaded:
    
        package                    |            build
        ---------------------------|-----------------
        openssl-1.0.2t             |   vc14h62dcd97_0         5.8 MB  defaults
        pytorch-1.2.0              |py3.7_cuda100_cudnn7_1       479.3 MB  pytorch
        torchvision-0.4.0          |       py37_cu100         2.3 MB  pytorch
        ------------------------------------------------------------
                                               Total:       487.4 MB
    
    The following packages will be UPDATED:
    
      openssl                                 1.0.2s-he774522_0 --> 1.0.2t-vc14h62dcd97_0
      pytorch                      1.0.1-py3.7_cuda100_cudnn7_1 --> 1.2.0-py3.7_cuda100_cudnn7_1
      torchvision        pytorch/noarch::torchvision-0.2.1-py_2 --> pytorch/win-64::torchvision-0.4.0-py37_cu100
      vs2015_runtime                     14.15.26706-h3a45250_0 --> 14.16.27012-hf0eaf9b_0
    
    
    Proceed ([y]/n)? y
    
    
    Downloading and Extracting Packages
    pytorch-1.2.0        | 479.3 MB  |                                                                              |   0%
    torchvision-0.4.0    | 2.3 MB    | ############################################################################ | 100%
    openssl-1.0.2t       | 5.8 MB    | ############################################################################ | 100%
    
    CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/pytorch/win-64/pytorch-1.2.0-py3.7_cuda100_cudnn7_1.tar.bz2>
    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.

anaconda这里是下载不下来的，然后找到国内镜像

[https://mirror.tuna.tsinghua.edu.cn/help/anaconda/][https_mirror.tuna.tsinghua.edu.cn_help_anaconda]

channels:
      - defaults
    show_channel_urls: true
    default_channels:
      - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
      - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
    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

其中的实质下载地址：

[https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/win-64/][https_mirrors.tuna.tsinghua.edu.cn_anaconda_cloud_pytorch_win-64]

<table> 
 <tbody> 
  <tr> 
   <td><a href="https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/win-64/pytorch-1.2.0-py3.7_cuda100_cudnn7_1.tar.bz2" rel="nofollow">pytorch-1.2.0-py3.7_cuda100_cudnn7_1.tar.bz2</a></td> 
   <td>479.3 MiB</td> 
   <td>2019-08-10 23:53</td> 
  </tr> 
 </tbody> 
</table>

我就是在这里下载的包。

关于anaconda上的下载地址，

https://anaconda.org/pytorch/pytorch/1.2.0/download/win-64/pytorch-1.2.0-py3.7\_cuda100\_cudnn7\_1.tar.bz2

conda上还有一个链接，  
https://conda.anaconda.org/pytorch/win-64/pytorch-1.2.0-py3.7\_cuda100\_cudnn7\_1.tar.bz2

下载时，最终指向的都是同一个下载地址，

[https://binstar-cio-packages-prod.s3.amazonaws.com/5a11][https_binstar-cio-packages-prod.s3.amazonaws.com_5a11]....

下载下来就可以离线安装了。

[https_blog.csdn.net_tanmx219_article_details_82814738]: https://blog.csdn.net/tanmx219/article/details/82814738
[https_mirror.tuna.tsinghua.edu.cn_help_anaconda]: https://mirror.tuna.tsinghua.edu.cn/help/anaconda/
[https_mirrors.tuna.tsinghua.edu.cn_anaconda_cloud_pytorch_win-64]: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/win-64/
[https_binstar-cio-packages-prod.s3.amazonaws.com_5a11]: https://binstar-cio-packages-prod.s3.amazonaws.com/5a11922b393ec61208ae9668/5d4ee8847870580c4535c056?response-content-disposition=attachment%3B%20filename%3D%22pytorch-1.2.0-py3.7_cuda100_cudnn7_1.tar.bz2%22%3B%20filename%2A%3DUTF-8%27%27pytorch-1.2.0-py3.7_cuda100_cudnn7_1.tar.bz2&response-content-type=application%2Fx-tar&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Expires=60&X-Amz-Date=20190913T055959Z&X-Amz-SignedHeaders=host&X-Amz-Security-Token=AgoJb3JpZ2luX2VjEEAaCXVzLWVhc3QtMSJIMEYCIQDyavy9WztDqnvWjfGS4BY6cRKwNZxxPEqvFaj88giMYAIhAP0fIo6dovhbfXCZ5TN1DymSfY%2BTFU04fbb5YUKvfpjhKuMDCPn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQABoMNDU1ODY0MDk4Mzc4IgwOIfQCUnYkaNmrddcqtwMKBHPwXy%2BU2F5tdAb6Ld%2FnppR%2BK9WpH%2Bwhzyu%2BBUth6uAz4Jt7N6ksWTqKrYvgoktexX3xUomU88oyo%2FXs4GkSegP37u2jx3f8gyUb7NSDJmBDmLJ%2BiOXsTTZDGSCue7DXshR3E%2BpGK9SGDzAUmb3DcP8II%2BzrENnlm8emsXR1tpGvxm3didYEyB1wSgdhNBNavoO95SomFP40KZaPul27Q5VCzpv%2FVB9%2BgxB6Kjs12BjfFP%2F5TfhcBhNQT8YFnUAw07MSPsRn6F2IvNVsfcuKZ6r77xGjJGKwlPYdXXAnjY1ejkpCzzAlNwyzZ456lpnJFQQe2%2B2N7YfyVGlVrYn21cAz%2BckWlEQext%2FLFQRTMl6Ahl33lAf6%2F9mgG708SsbvJzI7MIvuWYrNZMcQJLP2NkmrhEg5kHIwQskK%2FaQV0cNgPetiRY31cyBMmzoILGe9hUunroG6oDMXSaqu5Y4b8c7G0oPeH3yXtFTuI02fbtsVv%2FdmJe18ysglDWW2it1dfXtw28vdTOPuMkKXhSeEZbqKF4PyHJ41WP4B2duD7uLd%2FqD23JyJ4Bnnfc89n07naw8Y%2BBj7ML636%2BsFOrMB%2FdqJZEE%2FOVXdIxBlp%2B45kYFHDUmY63GxCvbZvZejpNP1GI15oVfWHjDxAEKqovgKtkmjhCirFMaJvnM5lgcysKLuZimpYBsXTPxG5bx9Vc%2Fj62atFf0277XUjOuIgNIifu1T5ivQjJB6h%2FZ%2FSkS2g1IDtVOemXmM5UVB0odAg9pZVOKbef7F8QTurGG4YM39Mb5goRfS2IBMd1IHfUAiouUVINFZtSDGzGpD1kbr9tseEjo%3D&X-Amz-Credential=ASIAWUI46DZFBHQ75M4C%2F20190913%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=b27788aed0d6d8085eb4769f60b39d0fcc06e4e95fb7ceb1d479103e0d5072e2