公开(公告)号：US11544140B2

公开(公告)日：2023-01-03

申请号：US17211680

申请日：2021-03-24

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Wei Zhou ,  Xiang Lan ,  Weihang Chen ,  Tao Luo

IPC: G06F11/08 ,  G06N3/08 ,  H03M7/30

Abstract: The present application discloses a method and apparatus for generating error reporting content of a deep learning framework, an electronic device and a readable storage medium, which relates to the field of deep learning technologies. An implementation solution adopted by the present application to generate error reporting content of a deep learning framework is: acquiring an error code and error information corresponding to the error code; generating an error file according to the error code and the error information corresponding thereto, and packaging the error file into the deep learning framework; running the deep learning framework, and in response to the deep learning framework receiving an error code returned by a third-party library when an error occurs in calling of a third-party library application programming interface (API), extracting, from the error file, error information corresponding to the received error code; and generating error reporting content according to the error information. The present application can automatically generate error reporting content including richer information.

公开(公告)号：US20220083417A1

公开(公告)日：2022-03-17

申请号：US17211680

申请日：2021-03-24

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Wei Zhou ,  Xiang Lan ,  Weihang Chen ,  Tao Luo

IPC: G06F11/08 ,  H03M7/30 ,  G06N3/08

Abstract: The present application discloses a method and apparatus for generating error reporting content of a deep learning framework, an electronic device and a readable storage medium, which relates to the field of deep learning technologies. An implementation solution adopted by the present application to generate error reporting content of a deep learning framework is: acquiring an error code and error information corresponding to the error code; generating an error file according to the error code and the error information corresponding thereto, and packaging the error file into the deep learning framework; running the deep learning framework, and in response to the deep learning framework receiving an error code returned by a third-party library when an error occurs in calling of a third-party library application programming interface (API), extracting, from the error file, error information corresponding to the received error code; and generating error reporting content according to the error information. The present application can automatically generate error reporting content including richer information.