Windows+Anaconda快速升级文件包(速查)

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

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/

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/

pytorch-1.2.0-py3.7_cuda100_cudnn7_1.tar.bz2479.3 MiB2019-08-10 23:53

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....

下载下来就可以离线安装了。

 

posted @ 2019-09-13 14:16  SpaceVision  阅读(39)  评论(0编辑  收藏  举报