This ones a little esoteric. I'm developing a wave-net inspired model. First time needing dilated convolutions.
My question is which values is the convolution looking at relative to the output position? For example if I have a
padding='same' are the inputs split evenly to both sides so relative positions of input data would be
(-3,-1,1,3), or justified to one side giving relative positions like
(-6,-4,-2,0) or something different? Is there an easy way to control this behavior?