On 2019/2/23 上午4:49, Manjukumar Harthikote Matha wrote:
Hi Hongxu,

-----Original Message-----
From: [email protected] [mailto:[email protected]]
On Behalf Of Stephen Lawrence
Sent: Friday, February 22, 2019 8:52 AM
To: Hongxu Jia <[email protected]>; [email protected];
[email protected]; [email protected]; [email protected];
[email protected]; [email protected]
Cc: [email protected]; [email protected]
Subject: Re: [yocto] Review request 0/13: Contribute meta-tensorflow to Yocto

Hi Hongxu,

-----Original Message-----
From: [email protected] <[email protected]>
On Behalf Of Hongxu Jia
Sent: 21 February 2019 11:37
To: [email protected]; [email protected];
[email protected]; [email protected];
[email protected]; [email protected]
Cc: [email protected]; [email protected]
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
<[email protected]>, Robert <[email protected]> and
Randy <[email protected]>, 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.

Agree, I will add it to my TODO list, more AI, more machine learning

framework should be integrated to Yocto.


//Hongxu


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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