公开(公告)号：US12032477B2

公开(公告)日：2024-07-09

申请号：US17856091

申请日：2022-07-01

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

Inventor： Tian Wu ,  Yanjun Ma ,  Dianhai Yu ,  Yehua Yang ,  Yuning Du

IPC: G06N3/08 ,  G06F9/445 ,  G06F9/455 ,  G06F11/36 ,  G06N3/04 ,  G06N20/00

CPC classification number: G06F11/3688 ,  G06N3/08

Abstract: A method and apparatus is provided for generating and applying a deep learning model based on a deep learning framework, and relates to the field of computers. A specific implementation solution includes that a basic operating environment is established on a target device, where the basic operating environment is used for providing environment preparation for an overall generation process of a deep learning model; a basic function of the deep learning model is generated in the basic operating environment according to at least one of a service requirement and a hardware requirement, to obtain a first processing result; an extended function of the deep learning model is generated in the basic operating environment based on the first processing result, to obtain a second processing result; and a preset test script is used to perform function test on the second processing result, to output a test result.

公开(公告)号：US12260492B2

公开(公告)日：2025-03-25

申请号：US18099602

申请日：2023-01-20

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

Inventor： Di Wang ,  Ruizhi Chen ,  Chen Zhao ,  Jingtuo Liu ,  Errui Ding ,  Tian Wu ,  Haifeng Wang

IPC: G06T15/00 ,  G06T15/04 ,  G06T15/20 ,  G06T15/40 ,  G06T19/20 ,  G06V10/774 ,  G06V10/82 ,  G06V40/16

Abstract: A method for training a three-dimensional face reconstruction model includes inputting an acquired sample face image into a three-dimensional face reconstruction model to obtain a coordinate transformation parameter and a face parameter of the sample face image; determining the three-dimensional stylized face image of the sample face image according to the face parameter of the sample face image and the acquired stylized face map of the sample face image; transforming the three-dimensional stylized face image of the sample face image into a camera coordinate system based on the coordinate transformation parameter, and rendering the transformed three-dimensional stylized face image to obtain a rendered map; and training the three-dimensional face reconstruction model according to the rendered map and the stylized face map of the sample face image.

公开(公告)号：US12223271B2

公开(公告)日：2025-02-11

申请号：US17874394

申请日：2022-07-27

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

Inventor： Zeyu Chen ,  Haifeng Wang ,  Tian Wu ,  Dianhai Yu ,  Yanjun Ma ,  Xiaoguang Hu

IPC: G06F40/10 ,  G06F40/284 ,  G06F40/47

Abstract: Provided are a text processing method, a device and a storage medium, relating to a field of computer technology, and especially to a field of artificial intelligence, such as natural language processing and deep learning. The specific implementation scheme includes: performing text processing on first text, by using a text processing acceleration operator; and processing, in parallel and faster, content after the text processing, by using the text processing acceleration operator. Text processing and parallel acceleration are carried out by the text processing acceleration operator, which can improve the speed of text processing.

公开(公告)号：US20230419592A1

公开(公告)日：2023-12-28

申请号：US18099602

申请日：2023-01-20

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

Inventor： Di WANG ,  Ruizhi Chen ,  Chen Zhao ,  Jingtuo Liu ,  Errui Ding ,  Tian Wu ,  Haifeng Wang

IPC: G06T15/20 ,  G06V40/16 ,  G06T15/04 ,  G06T15/40 ,  G06T19/20 ,  G06V10/82 ,  G06V10/774

CPC classification number: G06T15/20 ,  G06V40/168 ,  G06T15/04 ,  G06T15/40 ,  G06T19/20 ,  G06V10/82 ,  G06V10/774 ,  G06T2219/2004 ,  G06T2219/2012 ,  G06T2219/2016

Abstract: A method for training a three-dimensional face reconstruction model includes inputting an acquired sample face image into a three-dimensional face reconstruction model to obtain a coordinate transformation parameter and a face parameter of the sample face image; determining the three-dimensional stylized face image of the sample face image according to the face parameter of the sample face image and the acquired stylized face map of the sample face image; transforming the three-dimensional stylized face image of the sample face image into a camera coordinate system based on the coordinate transformation parameter, and rendering the transformed three-dimensional stylized face image to obtain a rendered map; and training the three-dimensional face reconstruction model according to the rendered map and the stylized face map of the sample face image.

公开(公告)号：US20230169351A1

公开(公告)日：2023-06-01

申请号：US18060705

申请日：2022-12-01

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

Inventor： Haifeng Wang ,  Zhihua Wu ,  Dianhai Yu ,  Yanjun Ma ,  Tian Wu

IPC: G06N3/098

CPC classification number: G06N3/098

Abstract: A distributed training method based on end-to-end adaption, a device and a storage medium. The method includes: obtaining slicing results by slicing a model to be trained; obtaining an attribute of computing resources allocated to the model for training by parsing the computing resources, in which the computing resources are determined based on a computing resource requirement of the model, computing resources occupied by another model being trained, and idle computing resources, and the attribute of the computing resources is configured to represent at least one of a topology relation and a task processing capability of the computing resources; determining a distribution strategy of each of the slicing results in the computing resources based on the attributes of the computing resources; and performing distributed training on the model using the computing resources based on the distribution strategy.

公开(公告)号：US20230186024A1

公开(公告)日：2023-06-15

申请号：US17874394

申请日：2022-07-27

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

Inventor： Zeyu Chen ,  Haifeng Wang ,  Tian Wu ,  Dianhai Yu ,  Yanjun Ma ,  Xiaoguang Hu

IPC: G06F40/284 ,  G06F40/47

CPC classification number: G06F40/284 ,  G06F40/47

Abstract: Provided are a text processing method, a device and a storage medium, relating to a field of computer technology, and especially to a field of artificial intelligence, such as natural language processing and deep learning. The specific implementation scheme includes: performing text processing on first text, by using a text processing acceleration operator; and processing, in parallel and faster, content after the text processing, by using the text processing acceleration operator. Text processing and parallel acceleration are carried out by the text processing acceleration operator, which can improve the speed of text processing.

公开(公告)号：US11604774B2

公开(公告)日：2023-03-14

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: G06F16/00 ,  G06F16/21 ,  G06F16/22

Abstract: A method and apparatus of converting a schema in a deep learning framework, an electronic device, and a computer storage medium are provided. 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.