'Skip nodes just pass back what they got.
Arguments:
error (Tensor): deltas back propagated from the adjacent higher layer
alpha (float, optional): scale to apply to input for activation
gradient bprop.  Defaults to 1.0
beta (float, optional): scale to apply to output activation
gradient bprop.  Defaults to 0.0
Returns:
Tensor: deltas to propagate to the adjacent lower layer'

def bprop(self, error, alpha=1.0, beta=0.0):

    self.be.bprop_skipnode(error, self.deltas, alpha, beta)
    return self.deltas
