Method and electronic device processing data using mixed precision neural network model

Abstract

A method of processing data using a neural network model, including: receiving, by a first processor, input data; obtaining, by the first processor, first vector data in which the input data is encoded, wherein the first vector data is obtained from a first neural-network-based encoder by providing the input data as an input to the first neural-network-based encoder; converting, by the first processor, a first portion of the first vector data into first partial vector data having a first bit depth; converting, by the first processor, a second portion of the first vector data into second partial vector data having a second bit depth different from the first bit depth; and generating, by the first processor, encoded data based on the first partial vector data and the second partial vector data.