Binary quantization method, neural network training method, device, and storage medium

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.

Dependencies are inferred from the claim text.