On 2019/2/23 上午12:51, Stephen Lawrence wrote:
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.
Yes, I know meta-renesas-ai, my first try of tensorflow build was based
on it,
but failed, I am afraid its version is old and no maintenance. So I
choose to
refer upstream arm compiler which `Build from source for the Raspberry Pi'
https://www.tensorflow.org/install/source_rpi
For tensorflow-lite, I am afraid it is not completed in meta-renesas-ai.
But tensorflow-lite is on my TODO list, Currently I am not sure what to
build
(may be c/c++ framework) and how to use (use cases).
For caffe2, it is another story `pytorch', I am afraid I don't have
resources(time)
to focus
//Hongxu
[1]https://github.com/renesas-rz/meta-renesas-ai
The layers were developed for the industrial focused Renesas RZ/G1 platforms.
Regards
--
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