[yocto] Review request 0/13: Contribute meta-tensorflow to Yocto

[Khem Raj]

On Fri, Feb 22, 2019 at 8:51 AM Stephen Lawrence
<stephen.lawrence at renesas.com> wrote:
>
> Hi Hongxu,
>
> > -----Original Message-----
> > From: yocto-bounces at yoctoproject.org <yocto-bounces at yoctoproject.org> On Behalf
> > Of Hongxu Jia
> > Sent: 21 February 2019 11:37
> > To: richard.purdie at linuxfoundation.org; mhalstead at linuxfoundation.org;
> > ross.burton at intel.com; raj.khem at gmail.com; paul.eggleton at linux.intel.com;
> > yocto at yoctoproject.org
> > Cc: lpd-cdc-core-dev at windriver.com; Zhangle.Yang at windriver.com
> > Subject: [yocto] Review request 0/13: Contribute meta-tensorflow to Yocto
> >
> > Hi RP and Yocto folks,
> >
> > Currently AI on IoT edge becomes more and more popular, but there is no
> > machine learning framework in Yocto/OE. With the support of Eric
> > <Zhangle.Yang at windriver.com>, Robert <liezhi.yang at windriver.com>
> > and Randy <randy.macleod at windriver.com>, after two months effort, I've
> > integrated TensorFlow to Yocto.
>
> Good work.
>
> You might be interested in the yocto layers for tensorflow, tensorflow-lite and caffe2
> on github here [1]. I'm not part of the team that developed that work but I forwarded
> your announcement to them. Perhaps there is the opportunity for some collaboration
> on the platform independent parts. The maintainer details are in the readme.
>
> [1] https://github.com/renesas-rz/meta-renesas-ai
>
> The layers were developed for the industrial focused Renesas RZ/G1 platforms.
>

It would be great to cherry-pick goodies from these layers and
maintain a single layer
which can be sustained and support wide variety of platforms and distributions.

> Regards
>
> Steve