公开(公告)号：US20250165785A1

公开(公告)日：2025-05-22

申请号：US19030849

申请日：2025-01-17

Applicant: Huawei Cloud Computing Technologies Co., Ltd.

Inventor： Guoping Long ,  Yuanfeng Zhong ,  Liying Li

IPC: G06N3/08 ,  G06F8/41

Abstract: A method for training a neural network, and a related device are provided. The method may be applied to a scenario in which a neural network is trained in the field of artificial intelligence. When an Nth round of training of the neural network is being performed, a first computational graph may be obtained; and after it is determined that a first compiled code corresponding to the first computational graph has been stored in a system, the first compiled code may be directly executed, where the first compiled code is generated during execution of an Mth round of training of the neural network, and M is less than N. Because there is no need to perform an operation of converting the first computational graph into an intermediate representation, and obtaining a compiled code based on the intermediate representation, overheads of computer resources are reduced.