An error with respect to filter weights in CNN during the backpropagation
One possible option is padding the lower dimensional object to match the size of the higher dimensional object. Padding is most commonly done so the input and output volume will always have the same spatial dimensions. The additional cells could be padded with any value. It is most common to use zero or the mean of the other cells, depending on the filter operation.