Title:
CONTENT INITIALIZATION METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/147718
Kind Code:
A1
Abstract:
The present disclosure relates to the technical field of computers, and particularly to the field of deep learning and the field of distributed computing. Provided in the present disclosure are a content initialization method and apparatus, an electronic device and a storage medium. The content initialization method is applied to any device amongst a plurality of devices included in a distributed system. A specific implementation solution of the content initialization method is: according to the size information of a resource space for a distributed system and the identification information of any device, determining the spatial information of a first subspace in the resource space for the device, the spatial information comprising the position information of the first subspace with respect to the resource space; and according to a random seed and the position information, determining initialization content for the first subspace.
Inventors:
WANG GUOXIA (CN)
LI LONG (CN)
WU ZHIHUA (CN)
LI LONG (CN)
WU ZHIHUA (CN)
Application Number:
PCT/CN2022/109455
Publication Date:
August 10, 2023
Filing Date:
August 01, 2022
Export Citation:
Assignee:
BEIJING BAIDU NETCOM SCI & TECH CO LTD (CN)
International Classes:
H04L67/10; G06F7/58; H04L41/0806
Foreign References:
| CN114466012A | 2022-05-10 | |||
| CN112395071A | 2021-02-23 | |||
| CN113454614A | 2021-09-28 | |||
| CN113328948A | 2021-08-31 | |||
| US20190317825A1 | 2019-10-17 | |||
| CN1661570A | 2005-08-31 | |||
| US20150261663A1 | 2015-09-17 |
Other References:
"Deep Learning: Foundations and Applications", 30 April 2020, BEIJING INSTITUTE OF TECHNOLOGY PRESS CO., LTD., CN, ISBN: 978-7-5682-8373-1, article WU, YUWEI: "Passage; Deep Learning: Foundations and Applications", pages: 171 - 173, XP009548426
"Master's Thesis", 25 May 2020, NANJING UNIVERSITY, CN, article LI, QINGPING: "Research on Cluster Resource Scheduling Optimization Technology for Distributed Deep Learning", pages: 1 - 74, XP009547993, DOI: 10.27235/d.cnki.gnjiu.2020.000673
"Master's Thesis", 25 May 2020, NANJING UNIVERSITY, CN, article LI, QINGPING: "Research on Cluster Resource Scheduling Optimization Technology for Distributed Deep Learning", pages: 1 - 74, XP009547993, DOI: 10.27235/d.cnki.gnjiu.2020.000673
Attorney, Agent or Firm:
CHINA SCIENCE PATENT & TRADEMARK AGENT LTD. (CN)
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