Hello Im new to deeplearning
I want to test something so I want to make own convolution 2d method.
I want to design as follows. kernel size = T

Giving input Channel x H x W with kernel also Channel x T x T. Same as before
But each kernel with one multiplication gives output T x T not as a one number.
So It is like kind of projection to surface of TxT
killing channel dimension.

How can I modify in Pytorch but still having properties same like autograd or other stuffs.