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

[Manjukumar Harthikote Matha]

Hi Hongxu,

> -----Original Message-----
> From: yocto-bounces at yoctoproject.org [mailto:yocto-bounces at yoctoproject.org]
> On Behalf Of Stephen Lawrence
> Sent: Friday, February 22, 2019 8:52 AM
> To: Hongxu Jia <hongxu.jia at windriver.com>; 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: Re: [yocto] Review request 0/13: Contribute meta-tensorflow to Yocto
> 
> 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.
> 

Thanks for the layer Hongxu. I agree with Steve, it would be good if you could collaborate with meta-renesas-ai and introduce the layer as meta-ai under meta-openembedded. 

Thanks,
Manju

> [1] https://github.com/renesas-rz/meta-renesas-ai
> 
> The layers were developed for the industrial focused Renesas RZ/G1 platforms.
> 
> Regards
> 
> Steve
> --
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