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lancercat / VSDF

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

Closed bad-meets-joke closed 1 year ago

bad-meets-joke commented 1 year ago

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 commented 1 year ago

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 commented 1 year ago

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 commented 1 year ago

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 commented 1 year ago

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 commented 1 year ago

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 commented 1 year ago

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