Network model quantification method and device, storage medium and electronic equipment

Abstract

The embodiment of the invention discloses a network model quantification method and device, a storage medium and electronic equipment, wherein the method comprises the steps: obtaining a target floating point network model which needs to be subjected to network model quantification; determining an asymmetric quantization interval corresponding to the input value of the target floating point network model; determining a symmetric quantization interval corresponding to the weight value of the target floating point network model; and then performing fixed-point quantization on an input value of the target floating-point network model according to the asymmetric quantization interval, and performing fixed-point quantization on a weight value of the target floating-point network model accordingto the symmetric quantization interval to obtain a fixed-point network model corresponding to the target floating-point network model. Therefore, the target floating-point network model is quantifiedinto the fixed-point network model in a fixed-point manner, so that the data type of the target floating-point network model is converted into the fixed-point type from the floating-point type, the size of the model is reduced, all operations in the network model are converted into fixed-point operations from floating-point operations, and the resource occupation of the network model is reduced.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a network model quantification method, device, storage medium and electronic equipment. Background technique [0002] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decision-making. ...

AI Technical Summary

Problems solved by technology

From the perspective of calculation, the calculation of floating-point data will take up a lot of computing resources, which will easily affect the normal operation of electronic equipment.

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