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Re: cuda support of src:pytorch

Hi Mo,

I wonder if the term 2.7 is of no concern to Debian? My understanding is
that Debian has not obtained a special license from NVidia, thus
redistributing the toolkit would be based on the redistribution grant
from the standard cuDNN license, which is subject to several
restrictions including 2.7:

"2.7 You agree to defend, indemnify and hold harmless NVIDIA and its
affiliates, and their respective employees, contractors, agents,
officers and directors, from and against any and all claims, damages,
obligations, losses, liabilities, costs or debt, fines, restitutions and
expenses (including but not limited to attorney’s fees and costs
incident to establishing the right of indemnification) arising out of or
related to your use of the SDK outside of the scope of this Agreement,
or not in compliance with its terms"

The CUDA EULA also contains similar terms..

Best regards

Mo Zhou <lumin@debian.org> writes:
> Hi team,
> I reviewed cuDNN's license again, it finally explicitly declared that
> the .h, and .so files are distributable (Chapter 8)
> https://docs.nvidia.com/deeplearning/cudnn/pdf/cuDNN-SLA.pdf
> That means we can upload it to the non-free section, without modifying
> the files (e.g. stripping). The packaging work should be done in nvidia
> team, and I've already set up a repository[2] on salsa many years ago.
> And we can copy some bits from Archlinux packaging:
> https://github.com/archlinux/svntogit-community/blob/packages/cudnn/trunk/PKGBUILD
> Apart from cudnn, missing from the archive is nccl 
> https://github.com/NVIDIA/nccl (BSD-3-Clause, can enter the contrib section).
> As another cuda-related dependency, src:cub is already present in the
> archive, thanks to the debian nvidia maintainers.
> IIUC, B-D: nvidia-cuda-toolkit, libcudnn-dev, libcub-dev, libnccl-dev,
> (optional: libmagma-dev) should be enough for us to enable the build
> of pytorch-cuda.
> Should we hurry up, we may still have chance to get a cuda version of
> pytorch into the archive. Anybody willing to lend me a hand on the nccl
> packaging [1]? Currently I'm still working on the unstable->testing
> migration issue of pytorch, and plan to investigate src:nvidia-cudnn
> next.
> [1] repo should be hosted in nvidia-team https://salsa.debian.org/nvidia-team/nvidia-nccl
> [2] https://salsa.debian.org/nvidia-team/nvidia-cudnn

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