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

[Randy MacLeod]

On 11/20/19 11:56 AM, Mauro Ziliani wrote:
>
> Is it possible to compile tensorflow against python2.7?
>
I doubt that it's easy/supported but Hongxu, who lives in China, will 
reply later today to explain.
Btw, Krogoth has python3, why not use it?

../Randy


> Il 20/11/19 16:40, Mauro Ziliani ha scritto:
>>
>> I forked the repository and I'm tryng to port the layer for Krogoth
>>
>> M
>>
>> Il 20/11/19 15:37, Mauro Ziliani ha scritto:
>>>
>>> Hi all.
>>>
>>> There a port for meta-tensorflow for Krogoth or Sumo?
>>>
>>> Mayabe I need to use it on this distribution
>>>
>>> Thaks
>>>
>>>  M
>>>
>>> Il 21/02/19 12:37, Hongxu Jia ha scritto:
>>>> 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.
>>>>
>>>> Now, I contribute the patches to Yocto for review, and apply for creating
>>>> a layer named `meta-tensorflow' on Yocto.
>>>>
>>>> For test convenient, there is a fork on github:
>>>> https://github.com/hongxu-jia/meta-tensorflow
>>>>
>>>> BTW, I have contributed other 11 fundamental recipes to meta-openembedded
>>>> and all of them have been merged to master branch.
>>>>
>>>> Please no hesitate to share your suggestion.
>>>>
>>>> //Hongxu
>>>>
>>>> Testing Commands:
>>>> -----------------
>>>> See README
>>>>
>>>> Testing, Expected Results:
>>>> --------------------------
>>>> See README
>>>>
>>>
>>
>

-- 
# Randy MacLeod
# Wind River Linux

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