[FFmpeg-devel] [GSOC] [PATCH] TensorFlow backend introduction for DNN module

[Pedro Arthur]

2018-06-03 16:55 GMT-03:00 Sergey Lavrushkin <dualfal at gmail.com>:
>> My concern is when we add more models, currently we have to store 2
>> models, one for the "native" implementation and one for the TF
>> backend.
>> There is also the case were one wants to update the weights for a
>> model, it will be necessary to update both the native and TF data.
>> Having duplicated data is much easier to get inconsistencies between
>> implementations.
>
>
> I understand the problem, but I am afraid that manual graph construction can
> take a lot of time, especially if we add something more complicated than
> srcnn,
> and the second approach passing weights in placeholders will require to
> add some logic for it in other parts of API besides model loading.
> I am thinking of another way, that is to get weights for native model from
> this binary
> tf model, if they are stored there consistently, and not specify them as
> float arrays.
> But then for each new model we need to find offsets for each weights array.
Ok, we can keep it until we find a reasonable solution.