公开(公告)号：US20220107791A1

公开(公告)日：2022-04-07

申请号：US17552151

申请日：2021-12-15

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

Inventor： Huanzhou WU ,  Huan WANG ,  Wei ZHOU ,  Tao LUO ,  Xiang LAN

IPC: G06F8/41 ,  G06F8/51

Abstract: There is provided a method for compilation, an apparatus for compilation, an electronic device, a storage medium and a program product, which may be used in a field of source file compilation and a field of deep learning. The method includes: acquiring a source file set containing source files in a type; combining a plurality of source files in the source file set into at least one source file subset, based on a predetermined combination rule associated with the source file set; and compiling each source file subset of the at least one source file subset as a whole.

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：US20220391774A1

公开(公告)日：2022-12-08

申请号：US17887951

申请日：2022-08-15

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

Inventor： Feng XING ,  Xiang LAN ,  Liling NIU ,  Xiandong LIU ,  Yanjun MA ,  Dianhai YU ,  Haifeng WANG

IPC: G06N20/10 ,  G06F9/54

Abstract: A method and apparatus for generating an operator are provided. The method includes: constructing a group of basic application programming interfaces for providing one of the following basic functions: an access function, a storage function, and a computing function; constructing a kernel application programming interface for invoking the basic application programming interfaces to implement an operator logic; and generating a target kernel operator based on the group of basic application programming interfaces and the kernel application programming interface.

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.