Hi,
> 2025年2月2日 11:00，Emilio Pozuelo Monfort <po...@debian.org> 写道：
>
> Yes, I noticed that xnnpack in experimental depends on pytorch/experimental.
I think this should be the reversed way (pytorch depends on xnnpack)?
> But pytorch is causing autopkgtest regressions on a couple of rdeps:
Thanks & noticed.
* pytorch-cuda is just a non-free variant which would be uploaded
after pytorch.
* pytorch-vision itself has autopkgtest issues and is not in testing
now.
> Also, have you test rebuilt rdeps against the new packages?
@lumin has run rate on them:
For onednn, xnnpack:
* onnxruntime: FTBFS solved by new 1.20.1+dfsg-1~exp1
For pytorch{,-cuda}:
* pytorch-{cluster,scatter,vision,ignite}, baler: builds without issue
* pytorch-sparse: failed, in testing, @lumin is looking into it
* skorch, pytorch-{audio, geometric}, python-array-api-compat: failed, but not
in testing
Thanks,
Shengqi Chen
