message: Update to avoid useless node in the graph based on review
diff: @@ -55,12 +55,14 @@ class L1L2(Regularizer):
  self.l2 = K.cast_to_floatx(l2)
  def __call__(self, x):
  + if self.l1 or self.l2:
  regularization = ops.convert_to_tensor(0., dtype=K.floatx())
  if self.l1:
  regularization += math_ops.reduce_sum(self.l1 * math_ops.abs(x))
  if self.l2:
  regularization += math_ops.reduce_sum(self.l2 * math_ops.square(x))
  return regularization
  + return None
  def get_config(self):
  return {'l1': float(self.l1), 'l2': float(self.l2)}
  