(self, x, nglayer=None)
return self.be.fprop_relu(nglayer, x, self.slope)
Returns the Exponential Linear activation

        Arguments:
            x (Tensor or optree): Input value

        Returns:
            Tensor or optree: output activation
Returns the Exponential Linear activation
Returns the Exponential Linear activation
def __call__(self, x, nglayer=None):
        """
        Returns the Exponential Linear activation

        Arguments:
            x (Tensor or optree): Input value

        Returns:
            Tensor or optree: output activation
        """
        return self.be.fprop_relu(nglayer, x, self.slope)
def __call__ ( self , x , nglayer = None ) : return self . be . fprop_relu ( nglayer , x , self . slope )