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

2019-11-20 Thread 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
, Robert
and Randy, 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









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# Wind River Linux

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

2019-11-20 Thread Mauro Ziliani

Is it possible to compile tensorflow against python2.7?

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
, Robert
and Randy, 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





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

2019-11-20 Thread Mauro Ziliani

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
, Robert
and Randy, 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



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

2019-02-25 Thread Stephen Lawrence

> -Original Message-
> From: Khem Raj 
> Sent: 23 February 2019 17:05
> To: Richard Purdie 
> Cc: Manjukumar Harthikote Matha ; Stephen Lawrence
> ; Hongxu Jia ;
> 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
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Re: [yocto] Review request 0/13: Contribute meta-tensorflow to Yocto

2019-02-24 Thread Manjukumar Harthikote Matha
Hi Hongxu,

> -Original Message-
> From: yocto-boun...@yoctoproject.org [mailto:yocto-boun...@yoctoproject.org]
> On Behalf Of Stephen Lawrence
> Sent: Friday, February 22, 2019 8:52 AM
> To: Hongxu Jia ; richard.pur...@linuxfoundation.org;
> mhalst...@linuxfoundation.org; ross.bur...@intel.com; raj.k...@gmail.com;
> paul.eggle...@linux.intel.com; yocto@yoctoproject.org
> Cc: lpd-cdc-core-...@windriver.com; zhangle.y...@windriver.com
> Subject: Re: [yocto] Review request 0/13: Contribute meta-tensorflow to Yocto
> 
> Hi Hongxu,
> 
> > -Original Message-
> > From: yocto-boun...@yoctoproject.org 
> > On Behalf Of Hongxu Jia
> > Sent: 21 February 2019 11:37
> > To: richard.pur...@linuxfoundation.org; mhalst...@linuxfoundation.org;
> > ross.bur...@intel.com; raj.k...@gmail.com;
> > paul.eggle...@linux.intel.com; yocto@yoctoproject.org
> > Cc: lpd-cdc-core-...@windriver.com; zhangle.y...@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
> > , Robert  and
> > Randy , 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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Re: [yocto] Review request 0/13: Contribute meta-tensorflow to Yocto

2019-02-23 Thread Hongxu Jia

On 2019/2/24 上午1:04, Khem Raj wrote:

On Sat, Feb 23, 2019 at 7:29 AM Richard Purdie
 wrote:

On Fri, 2019-02-22 at 20:49 +, Manjukumar Harthikote Matha wrote:

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.

Please don't do the meta-openembedded part!


I would agree to not make it a sub layer under meta-openembedded, but it can
be hosted on openembedded git infrastructure, I dont see much problem with that
if thats the case


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.


I know to create a standalone meta-ai than meta-tensorflow is more 
reasonable, that's my initial


layer naming, but

- It will dramatically increase the maintainer burden, so I limit the 
scope to the specific framework


  name. There are lots of TODO in tensorflow and I am afraid I do not 
have extra attention to


  other AI framework recently.

- Tensorflow is standalone enough, its build system is google's `bazel', 
like bitbake, it has special


  rules to build everything from scratch. (I've already sent other 
unbazel built recipes to


  meta-openembedded)

- Bazel is built by java, if we do not create sub layer in meta-ai (such 
as meta-ai/meta-tensorflow),


  the number of meta-ai layer deps will be more and more along with 
other AI frameworks


  are added. For other AI framework customer, depends unused layer is 
not a good idea.


- For future AI framework integration, if the framework is huge like 
TensorFlow (another well known is


  Facebook's PyTorch), we could create a standalone layer and appoint 
special maintainer to maintain it;


  if the framework is small and light, or fundamental algorithm 
packages used by multiple frameworks,


  we could create a meta-ai for collection, or directly add them to 
meta-openembedded. (For TensorFlow


  integration, I added 11 fundamental recipes to meta-openembedded )

//Hongxu



Cheers,

Richard



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

2019-02-23 Thread Hongxu Jia

On 2019/2/23 下午11:29, Richard Purdie wrote:

Please don't do the meta-openembedded part!


OK, I can't agree more, for tensorflow, if we move it to 
meta-openembedded/meta-ai,


we have to move the depending layer `meta-java' to meta-openembedded  
but it has


been already as a standalone layer , otherwise the meta-openembedded 
will depend outer layer.


//Hongxu


I believe that meta-oe is too large to be maintainable and that we need
a larger number of smaller layers.

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.

Cheers,

Richard



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

2019-02-23 Thread Khem Raj
On Sat, Feb 23, 2019 at 7:29 AM Richard Purdie
 wrote:
>
> On Fri, 2019-02-22 at 20:49 +, Manjukumar Harthikote Matha wrote:
> > >
> > > 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.
>
> Please don't do the meta-openembedded part!
>

I would agree to not make it a sub layer under meta-openembedded, but it can
be hosted on openembedded git infrastructure, I dont see much problem with that
if thats the case

> 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.

>
> Cheers,
>
> Richard
>
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Re: [yocto] Review request 0/13: Contribute meta-tensorflow to Yocto

2019-02-23 Thread Richard Purdie
On Fri, 2019-02-22 at 20:49 +, Manjukumar Harthikote Matha wrote:
> > 
> > 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. 

Please don't do the meta-openembedded part!

I believe that meta-oe is too large to be maintainable and that we need
a larger number of smaller layers.

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.

Cheers,

Richard

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

2019-02-22 Thread Hongxu Jia

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

Hi Hongxu,


-Original Message-
From: yocto-boun...@yoctoproject.org [mailto:yocto-boun...@yoctoproject.org]
On Behalf Of Stephen Lawrence
Sent: Friday, February 22, 2019 8:52 AM
To: Hongxu Jia ; richard.pur...@linuxfoundation.org;
mhalst...@linuxfoundation.org; ross.bur...@intel.com; raj.k...@gmail.com;
paul.eggle...@linux.intel.com; yocto@yoctoproject.org
Cc: lpd-cdc-core-...@windriver.com; zhangle.y...@windriver.com
Subject: Re: [yocto] Review request 0/13: Contribute meta-tensorflow to Yocto

Hi Hongxu,


-Original Message-
From: yocto-boun...@yoctoproject.org 
On Behalf Of Hongxu Jia
Sent: 21 February 2019 11:37
To: richard.pur...@linuxfoundation.org; mhalst...@linuxfoundation.org;
ross.bur...@intel.com; raj.k...@gmail.com;
paul.eggle...@linux.intel.com; yocto@yoctoproject.org
Cc: lpd-cdc-core-...@windriver.com; zhangle.y...@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
, Robert  and
Randy , 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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Re: [yocto] Review request 0/13: Contribute meta-tensorflow to Yocto

2019-02-22 Thread Stephen Lawrence
Hi Hongxu,

> -Original Message-
> From: yocto-boun...@yoctoproject.org  On 
> Behalf
> Of Hongxu Jia
> Sent: 21 February 2019 11:37
> To: richard.pur...@linuxfoundation.org; mhalst...@linuxfoundation.org;
> ross.bur...@intel.com; raj.k...@gmail.com; paul.eggle...@linux.intel.com;
> yocto@yoctoproject.org
> Cc: lpd-cdc-core-...@windriver.com; zhangle.y...@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
> , Robert 
> and Randy , 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.

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

2019-02-22 Thread Khem Raj
On Fri, Feb 22, 2019 at 8:51 AM Stephen Lawrence
 wrote:
>
> Hi Hongxu,
>
> > -Original Message-
> > From: yocto-boun...@yoctoproject.org  On 
> > Behalf
> > Of Hongxu Jia
> > Sent: 21 February 2019 11:37
> > To: richard.pur...@linuxfoundation.org; mhalst...@linuxfoundation.org;
> > ross.bur...@intel.com; raj.k...@gmail.com; paul.eggle...@linux.intel.com;
> > yocto@yoctoproject.org
> > Cc: lpd-cdc-core-...@windriver.com; zhangle.y...@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
> > , Robert 
> > and Randy , 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.
>
> [1] https://github.com/renesas-rz/meta-renesas-ai
>
> The layers were developed for the industrial focused Renesas RZ/G1 platforms.
>

It would be great to cherry-pick goodies from these layers and
maintain a single layer
which can be sustained and support wide variety of platforms and distributions.

> Regards
>
> Steve
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Re: [yocto] Review request 0/13: Contribute meta-tensorflow to Yocto

2019-02-22 Thread Hongxu Jia

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

2019-02-21 Thread Tim Orling
On Thu, Feb 21, 2019 at 4:27 AM Richard Purdie <
richard.pur...@linuxfoundation.org> wrote:

> Hi Hongxu,
>
> On Thu, 2019-02-21 at 06:37 -0500, Hongxu Jia wrote:
> > 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
> > , Robert 
> > and Randy , 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.
>
> I like this a lot, thanks for working on and sharing it!
>
> I had a quick glance through the patches and I didn't see anything that
> concerned me. I don't have much knowledge about tensor flow. I think
> this would make a great addition to git.yoctoproject.org and would love
> to see it there.
>
> Thanks again, I'm pleased to see something like this!
>

This is great. I had started writing a bazel recipe around the time of the
last ELC/YP DevDay, but got blocked. I’ll take a look and give it a spin.

Thank you for working on this.

—Tim

>
> Cheers,
>
> Richard
>
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Re: [yocto] Review request 0/13: Contribute meta-tensorflow to Yocto

2019-02-21 Thread Richard Purdie
Hi Hongxu,

On Thu, 2019-02-21 at 06:37 -0500, Hongxu Jia wrote:
> 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
> , Robert 
> and Randy , 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.

I like this a lot, thanks for working on and sharing it!

I had a quick glance through the patches and I didn't see anything that
concerned me. I don't have much knowledge about tensor flow. I think
this would make a great addition to git.yoctoproject.org and would love
to see it there.

Thanks again, I'm pleased to see something like this!

Cheers,

Richard

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