公开(公告)号：US20210209114A1

公开(公告)日：2021-07-08

申请号：US17208707

申请日：2021-03-22

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

Inventor： Yamei Li ,  Xiang Lan ,  Tao Luo ,  Huihuang Zheng

IPC: G06F16/2455 ,  G06N3/08 ,  G06F16/22 ,  G06F16/2453

Abstract: A method for monitoring operator compatibility within a deep learning framework, a computing system, and a non-transitory computer-readable storage medium are provided. The present disclosure relates to the field of deep learning. The method includes: generating first description information associated with at least one original operator and second description information associated with at least one modified operator; determining differences between the first description information associated with the at least one original operator and the second description information associated with the at least one modified operator; determining whether the differences satisfy a preset rule; and prompting information about incompatibility in response to determining that at least one of the differences does not satisfy the preset rule. The first and second description information are associated with the operator compatibility.

公开(公告)号：US12217150B2

公开(公告)日：2025-02-04

申请号：US17248131

申请日：2021-01-11

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

Inventor： Huihuang Zheng ,  Xiang Lan ,  Yamei Li ,  Liujie Zhang ,  Fei Guo ,  Yanjun Ma ,  Dianhai Yu

IPC: G06N3/044 ,  G06N3/08

Abstract: A data processing method and apparatus based on a recurrent neural network and a device are provided. The recurrent neural network includes multiple recurrent units, each recurrent unit includes multiple data processing nodes and a start node, at least one recurrent unit includes an end node, and at least one data processing node is included between the start node and the end node. During the processing of the first target processing object in a first recurrent unit, in a case that the first target processing object does not satisfy the first preset condition, the start node in the first recurrent unit is run to add a tag to the data processing nodes subsequent to the start node and stop addition of the tag in response to reaching the end node, and no processing is performed by the data processing nodes with the tag.