Model conversion method, apparatus and device, and computer storage medium

The invention provides a model conversion method, apparatus and device, and a computer storage medium. The method comprises the steps of obtaining a to-be-converted model; determining neural network layers contained in the to-be-converted model, and obtaining conversion results corresponding to the neural network layers; and combining the conversion results corresponding to the neural network layers to obtain a conversion result corresponding to the to-be-converted model. According to the method, the model conversion cost can be reduced, and the model conversion efficiency is improved. 本发明提供了一种模型转换的方法、装置、设备和计算机存储介质，所述方法包括：获取待转换模型；确定所述待转换模型中包含的神经网络层，并获取对应各神经网络层的转换结果；对所述对应各神经网络层的转换结果进行组合，得到对应所述待转换模型的转换结果。本发明能够降低模型转换的成本，提升模型转换的效率。