(self, x)
return (1.0 - self.be.square(x))
Returns the derivative.

        Arguments:
            x (Tensor or optree): Input value

        Returns:
            Tensor or optree: Derivative, :math:`1-x^2`
Returns the derivative.
Returns the derivative .
def bprop(self, x):
        """
        Returns the derivative.

        Arguments:
            x (Tensor or optree): Input value

        Returns:
            Tensor or optree: Derivative, :math:`1-x^2`
        """
        return (1.0 - self.be.square(x))
def bprop ( self , x ) : return ( 1.0 - self . be . square ( x ) )