MODEL WEIGHT ACQUISITION METHOD AND RELATED SYSTEM

This application provides a model weight obtaining method, including: obtaining structure information of a first neural network model; searching, based on the structure information of the first neural network model, a weight library that stores a plurality of groups of historical weights to obtain a reference weight, where the reference weight is a weight of a second neural network model having a structure similar to that of the first neural network model in the plurality of groups of historical weights; and converting the reference weight to obtain a weight of the first neural network model. In the method, a weight of a neural network model having a structure similar to that of a to-be-trained neural network model is searched for in a weight library, and the weight is converted, to obtain a weight that can be used by the to-be-trained neural network model. Model training does not need to be performed from the beginning, improving model training efficiency.