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

        May skip any computation not needed for doing inference only.

        Calling bprop subsequently is not valid.

        Arguments:
            inputs (Tensor): input data

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

        May skip any computation not needed for doing inference only.

        Calling bprop subsequently is not valid.

        Arguments:
            inputs (Tensor): input data

        Returns:
            Tensor: output data
        """
        if not self.caffe_mode:
            self.outputs[:] = inputs * self.keep
        return self.outputs
def _fprop_inference ( self , inputs ) : if not self . caffe_mode : self . outputs [ : ] = inputs * self . keep return self . outputs