(self, inputs, inference=False)
return self.outputs
Apply the forward pass transformation to the input data.

        Arguments:
            inputs (Tensor): input data
            inference (bool): is inference only

        Returns:
            Tensor: output data
Apply the forward pass transformation to the input data.
Apply the forward pass transformation to the input data .
def fprop(self, inputs, inference=False):
        """
        Apply the forward pass transformation to the input data.

        Arguments:
            inputs (Tensor): input data
            inference (bool): is inference only

        Returns:
            Tensor: output data
        """
        self.inputs = inputs
        self.be.fprop_lrn(self.nglayer,
                          inputs, self.outputs, self.denom,
                          self.alpha, self.beta, self.ascale, self.bpower)
        return self.outputs
def fprop ( self , inputs , inference = False ) : self . inputs = inputs self . be . fprop_lrn ( self . nglayer , inputs , self . outputs , self . denom , self . alpha , self . beta , self . ascale , self . bpower ) return self . outputs