Hi Mo,
On Sat, Apr 25, 2020 at 10:20:32AM +0000, Mo Zhou wrote:
Is there any COVID-19 package using pytorch blocked due to its absense?
I admit I can not say without doing detailed research on the set of
relevant packages[3]
A good news is that I've managed to strip the whole third_party/
directory of src:pytorch, and started to forward my patches to upstream[1].
When all my modifications entered the upstream repo, I'll be quite
confident that our src:pytorch package can enter the archive without
any (annoying) embedded sources [2].
Cool!
What I'm doing now is to wait for the upstream to merge my commits, and
for the ftp-masters to accept my NEW dependency packages.
In that sense, I'd like to take the COVID-19 shortcut to pass NEW
quickly, if any COVID-19 related package needs pytorch.
Frankly speaking: A lot of the relevant high level tools of
epidemiology are using deep learning technologies. So its not really
wrong to say its relevant for COVID-19 fighting.
--- According to my status page
https://qa.debian.org/developer.php?login=lumin
these are the NEW dependency packages:
fp16
fxdiv
gloo
onnx
psimd
pthreadpool
I'll start to re-debianize src:pytorch from scratch when all of my
commits had been upstreamed.
--- all of my on-going work are publically available:
https://salsa.debian.org/deeplearning-team
Cool. I've added this to the Blends machine-readable gatherer since
several interesting Blends packages are there. It would be great if
you could add these to the according Debian Science and Debian Med
tasks.
BTW, what might be interesting for you: Olek is very actively working
on bazel:
https://salsa.debian.org/olek/bazel
https://github.com/cdluminate/pytorch (messy, not rebased yet)
The links to my PRs can be found on [1]
[1] https://github.com/pytorch/pytorch/issues/14699
[2] Finally, we will have a modern deep learning framework in the
archive. It's better than having nothing even if I'm working on the
cpu-only (free) version.
Thanks a lot for all your work. Its extremely helpful.