Implications of setting SIGCHLD in relation to NIFs

[Frank Muller]

Got it. Thanks Max

Wed 25 nov. 2020 - 20:53, Max Lapshin <max.lapshin@REDACTED> wrote  :

> We use caffe + tensor-rt for video processing neural networks.  They
> are tightly integrated with our video decoding code: it is very
> important to run all this in a single process to save memory.
>
> Flussonic unpacks protocols to frames, card decodes video, processes
> it and sends output. All this is done in a single process or a
> per-card process.
>
> Not easy to debug, running separate process is easier and more
> reliable of course.
>
> On Tue, Nov 24, 2020 at 9:07 PM Frank Muller <frank.muller.erl@REDACTED>
> wrote:
> >
> > Hi Max
> >
> > Interesting... Can you shed some light on how you integrate Neural
> Network with Flussonic from a design perspective?
> >
> > Do you use an external AI library for that ?
> >
> > /Frank
> >
> > Le mar. 24 nov. 2020 à 18:40, Max Lapshin <max.lapshin@REDACTED> a
> écrit :
> >>
> >> > I'm not sure I would like to have TensorFlow running inside the
> Erlang VM in the first place.
> >>
> >> We analyse video streams with neural networks. It is almost impossible
> >> and useless to run these things in different processes.
> >>
> >> Everything is running in same process because of enormous data
> >> streams, so it is absolutely ok to run all this inside erlang VM =)
> >>
> >>
> >> However, if your traffic is small, it maybe ok to split into different
> processes
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://erlang.org/pipermail/erlang-questions/attachments/20201126/61678a11/attachment.htm>