公开(公告)号：US20220035614A1

公开(公告)日：2022-02-03

申请号：US17500779

申请日：2021-10-13

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

Inventor： Liujie ZHANG ,  Xiang LAN ,  Huihuang ZHENG ,  Hongyu LIU ,  Wei ZHOU ,  Yanjun MA ,  Dianhai YU ,  Haifeng WANG

IPC: G06F8/61 ,  G06F9/445 ,  G06F8/41 ,  G06N3/10

Abstract: The present disclosure discloses a method, an apparatus and an electronic device for deploying an operator in a deep learning framework and relates to the field of artificial intelligence technology such as deep learning. And the solution is: acquiring a source file of the operator; compiling the source file of the operator to form a dynamic link library of the operator; generating an interface file transferred from the dynamic link library of the operator; generating an installable library file according to the dynamic link library and the interface file; installing the installable library file to a target programming language library.

公开(公告)号：US20220004526A1

公开(公告)日：2022-01-06

申请号：US17480294

申请日：2021-09-21

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

Inventor： Liujie ZHANG ,  Yamei LI ,  Huihuang ZHENG ,  Hongyu LIU ,  Xiang LAN ,  Dianhai YU ,  Yanjun MA ,  Tian WU ,  Haifeng WANG

IPC: G06F16/21 ,  G06F16/22

Abstract: According to exemplary embodiments of the present disclosure, there is provided a method and apparatus of converting a schema in a deep learning framework, and a computer storage medium. The method of converting the schema in the deep learning framework includes: updating a first schema, based on first syntax elements in the first schema and a context relationship between the first syntax elements in the first schema, so as to obtain an updated first schema; generating second syntax elements corresponding to updated first syntax elements in the updated first schema, based on a mapping relationship between the updated first syntax elements in the updated first schema and second syntax elements in a second schema system; and combining the second syntax elements according to a context relationship between the updated first syntax elements, so as to generate a second schema

公开(公告)号：US20250005446A1

公开(公告)日：2025-01-02

申请号：US18547090

申请日：2022-11-02

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

Inventor： Weihang CHEN ,  Haifeng WANG ,  Yunfei ZHANG ,  Risheng YUAN ,  Tianyu CHEN ,  Hongyu LIU ,  Xiaoguang HU ,  Dianhai YU ,  Yanjun MA

IPC: G06N20/00

Abstract: An operator processing method of a deep learning framework an electronic device, and a storage medium are provided, which relate to a field of computer technology, especially in a field of artificial intelligence technology such as deep learning. The specific implementation scheme includes: acquiring an operator to be processed, where the operator to be processed includes a template parameter independent of the deep learning framework and an operator kernel function; parsing, in response to receiving an input information for the operator to be processed, the template parameter by using the input information to obtain a plurality of complete template parameters related to the deep learning framework; and processing the operator kernel function according to the plurality of complete template parameters, to obtain an available operator for the deep learning framework.

公开(公告)号：US20220374238A1

公开(公告)日：2022-11-24

申请号：US17572140

申请日：2022-01-10

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

Inventor： Weihang CHEN ,  Jiabin YANG ,  Hongyu LIU ,  Xiang LAN

IPC: G06F9/38 ,  G06F9/30 ,  G06F9/54

Abstract: The present disclosure provides an operator registration method and apparatus for a deep learning framework, a device and a storage medium, relates to the field of computer technologies, and specifically to the field of artificial intelligence such as deep learning. The operator registration method for a deep learning framework includes: receiving registration information provided by a user for registering operators with the deep learning framework, the registration information including: a custom calculation function, the custom calculation function being written in a manner irrelevant to the deep learning framework; building operator meta-information in the deep learning framework based on the registration information; and constructing a to-be-registered operator within the deep learning framework based on the operator meta-information, and registering the to-be-registered operator in a global operator table within the deep learning framework. The present disclosure can simplify an operator registration process.

公开(公告)号：US20220058490A1

公开(公告)日：2022-02-24

申请号：US17519815

申请日：2021-11-05

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

Inventor： Haifeng WANG ,  Xiaoguang HU ,  Hongyu LIU ,  Dianhai YU ,  Yanjun MA ,  Tian WU

IPC: G06N3/08 ,  G06N3/04

Abstract: A method and apparatus of constructing a network model for deep learning, a device, and a storage medium, which relate to artificial intelligence, and in particular to a field of deep learning. The method of constructing the network model for deep learning includes: determining an execution mode for executing codes, based on a mode parameter; executing the codes by using a first component, which is executable in a first execution mode, through a syntax element in the codes, in response to determining that the execution mode is the first execution mode; and executing the codes by using a second component, which is executable in a second execution mode, through the syntax element, in response to determining that the execution mode is the second execution mode; wherein the first component and the second component have the same component interface, and the syntax element corresponds to the component interface.