Bug#1094440: transition: xnnpack and onednn for PyTorch 2.6

[Shengqi Chen <harry@debian.org>]

Control: retitle -1 transition: xnnpack, onednn, pytorch{,-cuda}

Hi,

> 2025年1月28日 08:33，Shengqi Chen <harry@debian.org> 写道：
> 
> They have exact same reverse dependencies (pytorch and onnxruntime)
> that are also maintained by the deep learning team:
> 
> * pytorch needs a new upstream version (2.6+) that we are preparing
> * onnxruntime needs a binNMU. 
> 
> Since they are mainly used as dependencies of PyTorch 2.6, I would
> like them to be in one, but not two independent, transition if possible.

After discussion with @lumin, we think xnnpack, onednn and pytorch need
to be in one transition, since their versions are tightly coupled.

The Ben file should then be:

title = “xnnpack, onednn, pytorch";
is_affected = .depends ~ /\b(libxnnpack0\.20241108|libxnnpack0|libdnnl3\.6|libdnnl3|libtorch2\.5|libtorch2\.6)\b/;
is_good = .depends ~ /\b(libxnnpack0\.20241108|libdnnl3\.6|libtorch2\.6)\b/;
is_bad = .depends ~ /\b(libxnnpack0|libdnnl3|libtorch2\.5)\b/;

-- 
Thanks
Shengqi Chen