(self, inputs, inference=False)
return self.outputs
Passes output from preceding layer on without modification.

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

        Returns:
            Tensor: output data
Passes output from preceding layer on without modification.
Passes output from preceding layer on without modification .
def fprop(self, inputs, inference=False):
        """
        Passes output from preceding layer on without modification.

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

        Returns:
            Tensor: output data
        """
        self.init_buffers(inputs)
        self.outputs[:] = self.xs[-1]
        return self.outputs
def fprop ( self , inputs , inference = False ) : self . init_buffers ( inputs ) self . outputs [ : ] = self . xs [ - 1 ] return self . outputs