> -----Original Message----- > From: Khem Raj <raj.k...@gmail.com> > Sent: 23 February 2019 17:05 > To: Richard Purdie <richard.pur...@linuxfoundation.org> > Cc: Manjukumar Harthikote Matha <manju...@xilinx.com>; Stephen Lawrence > <stephen.lawre...@renesas.com>; Hongxu Jia <hongxu....@windriver.com>; > mhalst...@linuxfoundation.org; ross.bur...@intel.com; > paul.eggle...@linux.intel.com; yocto@yoctoproject.org; lpd-cdc-core- > d...@windriver.com; zhangle.y...@windriver.com > Subject: Re: [yocto] Review request 0/13: Contribute meta-tensorflow to Yocto >
[snip] > > I believe that meta-oe is too large to be maintainable and that we need > > a larger number of smaller layers. > > > > There is a fine balance to be had, that I have come to realize over years now > but AI is large enough and segmented enough to have a layer of its own. > > > Having tensorflow in its own layer which as a specific purpose and its > > specific maintainers who understand it is in my view much more > > desirable and sustainable. > > I think its a good idea to have various AI infras in one layer > including tensorflow > unless we have large enough dev community to maintain each of them so I like > meta-ai conceptually. From a brief discussion with the team here one issue is the low backwards compatibility between models from different Tensorflow versions. I don't know how fast upstream is moving, but there may be demand to support more than one version per YP version. That's not unsurmountable of course, but I thought I would mention it. meta-renesas-ai has a MIT license btw if it’s a help in creating something more generic and shared. Regards Steve -- _______________________________________________ yocto mailing list yocto@yoctoproject.org https://lists.yoctoproject.org/listinfo/yocto
