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Downloads from pytorch channel are very slow #13366

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apoorvkh opened this issue Apr 4, 2024 · 0 comments
Open
4 of 8 tasks

Downloads from pytorch channel are very slow #13366

apoorvkh opened this issue Apr 4, 2024 · 0 comments
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@apoorvkh
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apoorvkh commented Apr 4, 2024

Checklist

  • I added a descriptive title.
  • I searched through existing issues and couldn't find a solution or duplicate issue.
  • I searched on the web (e.g. Google) and didn't find any helpful information.
  • I searched the Anaconda documentation and didn't find any helpful information.

Impacted product

  • A conda package (built by Anaconda)
  • Anaconda Distribution (formerly Anaconda Individual Edition)
  • Miniconda
  • Anaconda.org

What happened?

I am currently not able to download Pytorch from the pytorch and pytorch-test channels in a reasonable time. Some portions of the file download faster but it usually seems to be bottlenecked at 30 KB/s (maybe the download will take 10s of minutes or hours).
I am using a university cluster with a pretty fast network connection (near Boston).

We can see that this seems to be a current issue for other users as well: pytorch/pytorch#88659 (comment)

E.g. (just using wget instead of conda install here to see speeds):

❯ wget https://conda.anaconda.org/pytorch/linux-64/pytorch-2.2.2-py3.11_cuda12.1_cudnn8.9.2_0.tar.bz2
--2024-04-04 00:02:49--  https://conda.anaconda.org/pytorch/linux-64/pytorch-2.2.2-py3.11_cuda12.1_cudnn8.9.2_0.tar.bz2
Resolving conda.anaconda.org (conda.anaconda.org)... 104.19.144.37, 104.19.145.37, 2606:4700::6813:9025, ...
Connecting to conda.anaconda.org (conda.anaconda.org)|104.19.144.37|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 1446426807 (1.3G) [application/x-tar]
Saving to: ‘pytorch-2.2.2-py3.11_cuda12.1_cudnn8.9.2_0.tar.bz2’

pytorch-2.2.2-py3.11_cuda12.1_cudnn8  17%[===========>                                                           ] 241.98M   28.9KB/s

cc: @atalman (since you opened #13364 here recently)

Expected behavior or outcome

Can we solve the underlying issue or create a faster mirror to get a reasonable download speed?

Conda info

No response

Conda config

No response

Conda list

No response

Additional information

No response

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