Re: GSOC 17 - Octave - Reutilization of NNET on CNN Project

[Brayan Impatá]

Hi Rik,

I will give them a glance and a try. I have never wrote one so I guess that my proposal's timing would be more realistic given I get some experience with this. As for Tensorflow abandoning the C++ API, on November 2016 a contributor said that was unlikely since the Tensorflow serving uses it (check it here).

On 22 March 2017 at 17:21, Rik <address@hidden> wrote:

On 03/22/2017 09:00 AM, octave-maintainers-request@gnu.org wrote:

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Re: GSOC 17 - Octave - Reutilization of NNET on CNN Project

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Brayan Impatá <address@hidden>

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03/22/2017 01:07 AM

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Hi,

I've seen we have a strong dependency to the Pytave project if we pretend to use Tensorflow/Keras through its Python interface. Shall we better move to use OCT files to define the CNN module and use the C++ API that Tensorflow exposes? It does not seems to be a good idea depending on another developing project.

I would say that many people overestimate the difficulty of using .oct files.  I re-wrote a lot of the documentation on using the external interface so I think the manual is pretty clear now.  And there are many usage examples in the libinterp/dldfcn directory to begin an implementation from.  Since Tensorflow exposes a C++ API it makes a whole lot of sense to me to use this approach rather than go through a longer path of Octave->Python->Tensorflow->Python->Octave.

The only caveat I see is this, "A word of caution: the APIs in languages other than Python are not yet covered by the API stability promises."  However, I doubt they are going to abandon C++ as an API.

---Rik

--

Un saludo,

Brayan.