公开(公告)号：US20250156697A1

公开(公告)日：2025-05-15

申请号：US19019769

申请日：2025-01-14

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xinghao CHEN ,  Zhijun TU ,  Yunhe WANG

IPC: G06N3/0495 ,  G06N3/084

Abstract: This application provides a binary quantization method, a neural network training method, a device, and a storage medium. The binary quantization method includes: determining to-be-quantized data in a neural network; determining a quantization parameter corresponding to the to-be-quantized data, where the quantization parameter includes a scaling factor and an offset; determining, based on the scaling factor and the offset, a binary upper limit and a binary lower limit corresponding to the to-be-quantized data; and performing binary quantization on the to-be-quantized data based on the scaling factor and the offset, to quantize the to-be-quantized data into the binary upper limit or the binary lower limit.