I’m actually working with the library since long time. Until now, the applications were very standard and sometimes even already implemented.
In my actual case, I would need change the convolution, ideally, I would like to:

“Change” the image convoluted area. For example actually abbreviated we have conv(Tensor[:]).

What I’d like to have is something like: conv(Tensor[1:5, 1:5, : , :]).
I would like to know if there is an already implemented solution? And if no, is there any possibility to make it myself?
I could have implemented a convolution, my concern is about GPU memory management which leads me to ask you if there is any innate solution.

I actually was agreeing with this solution which seems correct. My actual concern is: can I translate the convolution without using such tensor reduction.
In my case, for a more precise case, I’d like to make 4 convolution at a time (4 different layers) but for each of them, they should start correspondingly as (0.1), (0,0), (1,0) and (1,1). The idea was to know is there was a solution for a prior translation of the convolution.

If there is no such possible solution, I’ll go for a tensor reduction with the square bracket accessor.

Anyhow it’s just a matter of a proper / generic code. If it’s not possible thanks for your answer.