公开(公告)号：US20220207346A1

公开(公告)日：2022-06-30

申请号：US17135793

申请日：2020-12-28

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Chao-Hung CHEN ,  Ming-Chun HSYU ,  Chien-Chih HUANG ,  Wen-Pin HSU ,  Chun-Te YU

IPC: G06N3/08 ,  G06F7/50 ,  G06F7/523 ,  G06K9/62

Abstract: A data processing method used in neural network computing is provided. During a training phase of a neural network model, a feedforward procedure based on a calibration data is performed to obtain distribution information of a feedforward result for at least one layer of the neural network model. During the training phase of the neural network model, a bit upper bound of a partial sum is generated based on the distribution information of the feedforward result. During an inference phase of the neural network model, a bit-number reducing process is performed on an original operation result of an input data and a weight for the neural network model according to the bit upper bound of the partial sum to obtain an adjusted operation result.