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Where to download the "vision-xxx.tar.gz"? #6

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bad-meets-joke opened this issue Oct 9, 2022 · 6 comments
Closed

Where to download the "vision-xxx.tar.gz"? #6

bad-meets-joke opened this issue Oct 9, 2022 · 6 comments
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documentation Improvements or additions to documentation good first issue Good for newcomers

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@bad-meets-joke
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Could you share the link to download the torchvision code, i.e. vision-xxx.tar.gz described in manul.pdf, of which the version is also compatible with pytorch1.7.1+cu10.1?

@lancercat
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lancercat commented Oct 9, 2022

TLDR: Sorry, I dunno. Please develop on up-to-date enviornments(torch 112, vision 0.13).


Longer story
Ugh, the vision part on the ablative is not installed by recent, so I don't have the installation packages either.

And the guide is intended to set up an up-to-date environment but not the exact same one with my ablative machine.
The machine has more than one users so I can't simply update it on my own...

My suggestion is to update everything, specifically using pytorch 112 and vision 0.13.

@lancercat
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FYI, the vision on the ablative machine has version string '0.8.2+cu101'
image

Still, I highly recommend to develop on up-to-date environment, which is more future proof.

@bad-meets-joke
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TLDR: Sorry, I dunno. Please develop on up-to-date enviornments(torch 112, vision 0.13).

Longer story Ugh, the vision part on the ablative is not installed by recent, so I don't have the installation packages either.

And the guide is intended to set up an up-to-date environment but not the exact same one with my ablative machine. The machine has more than one users so I can't simply update it on my own...

My suggestion is to update everything, specifically using pytorch 112 and vision 0.13.

Ok,I will change to pytorch1.12.0, so how to get the vision-0.13.tar.gz as decribed in the manual.pdf?

@lancercat
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you can get it from the official site :-)
They seem to have fixed the ffmpeg bug.

https://github.com/pytorch/vision/releases

Alternatively you can find it in
https://github.com/lancercat/make_env

they should be the same.

@bad-meets-joke
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Thanks, I run on the Pytorch1.7.1+cu10.1 due to the limitation of Nvidia Driver version, and directly use conda install torchvision==0.8.2, it finally works.

@lancercat lancercat pinned this issue Oct 13, 2022
@lancercat lancercat added documentation Improvements or additions to documentation good first issue Good for newcomers labels Oct 13, 2022
@lancercat
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lancercat commented Oct 13, 2022

Thanks for your feedback! I pinned this issue as I think pretty many people using cent or ubuntu may find this helpful.

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