公开(公告)号：US12299565B2

公开(公告)日：2025-05-13

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 ,  G06F18/21

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.