On 02/02/2025 00:01, Shengqi Chen wrote:
Control: retitle -1 transition: xnnpack, onednn, pytorch{,-cuda}
Hi,
2025年1月28日 08:33，Shengqi Chen <ha...@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.
Yes, I noticed that xnnpack in experimental depends on pytorch/experimental. But
pytorch is causing autopkgtest regressions on a couple of rdeps:
https://qa.debian.org/excuses.php?experimental=1&package=pytorch
Also, have you test rebuilt rdeps against the new packages?
Cheers,
Emilio
