Hello all,
For my research, I’m required to implement a convolution-like layer i.e something that slides over some input (assume 1D for simplicity), performs some operation and generates basically an output feature map. While this is perfectly similar to regular convolution, the difference here is the operation being performed - its not regular convolution. I looked through the PyTorch code on GitHub but it seems to rely on some sort of convolution primitive…
Is there a straightforward way to implement this?
Thanks