I understand concatenation in 1D, for instance, we can concatenate (12,20), (6,20) as (18, 20), but not sure what would be the correct dimension of the concatenated output tensor in 2D. I was thinking output tensor shape could be (56,56, 128)  based on the above example, but not sure that’s the right intuition to do so. I am open to community suggestions at the best.  I think I need a new tensor that could have the shape of (Width, Height, Channel). Do you have any possible thoughts? Thanks!