公开(公告)号：US20210248469A1

公开(公告)日：2021-08-12

申请号：US17241941

申请日：2021-04-27

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Hongtian YANG ,  Shengyi HE ,  Xuejun WANG

IPC: G06N3/08 ,  G06N3/063

Abstract: A method for scheduling deep learning reasoning engines is provided, which involve artificial intelligence, deep learning and chip technology. The specific implementation solution is: determining, in response to a scheduling request for a current reasoning task from an application layer, a type of the current reasoning task; calculating a total load of each of one or more reasoning engines after executing the current reasoning task of the type; comparing the total loads of the one or more reasoning engines to obtain a comparison result, and determining a target reasoning engine for executing the current reasoning task from the one or more reasoning engines according to the comparison result; returning an index of the target reasoning engine to the application layer, in which the index is used to indicate a call path of the target reasoning engine. Further, an electronic device and a chip are provided.