DEEP LEARNING MODEL GENERATION METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM

摘要

Embodiments of the present application relate to the field of deep learning. Disclosed are a deep learning model generation method and apparatus, a device, and a storage medium. The method comprises: generating a first source file according to a model file of a deep learning model, the model file comprising a weight matrix in the deep learning model; obtaining a second source file corresponding to the deep learning model; and compiling the first source file and the second source file to generate a target file corresponding to the deep learning model. The method provided in the embodiments of the present application is used, and the first source file is generated in advance according to the weight matrix in the deep learning model, so that in a compiling process, the first source file and the second source file corresponding to a neural network structure are compiled to generate the target file corresponding to the deep learning model, data loading of the weight matrix can be completed in the compiling stage of the deep learning model, and the weight matrix is not required to be reloaded in the subsequent model reasoning process, thereby improving the reasoning efficiency of the deep learning model.