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Title:
MODEL DEBUGGING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2024/040844
Kind Code:
A1
Abstract:
The present disclosure relates to the technical field of artificial intelligence, in particular, to the fields of deep learning, user coding/compiling and the like. Provided are a model debugging method and apparatus, an electronic device, and a storage medium. The model debugging method comprises: loading a debugging tool in a dynamic graph mode; matching operator composition information corresponding to at least one component in a network model with an operator fusion policy in the debugging tool to obtain a matching result; and according to the matching result, obtaining debugging information for model debugging.

Inventors:
HAO HONGXIANG (CN)
GONG WEIBAO (CN)
SHEN LIANG (CN)
WU ZHIHUA (CN)
YU DIANHAI (CN)
Application Number:
PCT/CN2022/143712
Publication Date:
February 29, 2024
Filing Date:
December 30, 2022
Export Citation:
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Assignee:
BEIJING BAIDU NETCOM SCI & TECH CO LTD (CN)
International Classes:
G06N3/04
Domestic Patent References:
WO2022095413A12022-05-12
Foreign References:
CN114168154A2022-03-11
CN113342345A2021-09-03
CN114911465A2022-08-16
US20210182036A12021-06-17
Other References:
WEI NIU; JIEXIONG GUAN; YANZHI WANG; GAGAN AGRAWAL; BIN REN: "DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 1 December 2021 (2021-12-01), 201 Olin Library Cornell University Ithaca, NY 14853, XP091110940, DOI: 10.1145/3416510
XIAODAN WANG, XIANG QIAN; LI RUI;LAI JIE: "Review of Deep Learning Research and Application of New Scientific Discoveries to Military", JOURNAL OF AIR FORCE ENGINEERING UNIVERSITY(NATURAL SCIENCE EDITION), vol. 23, no. 1, 25 February 2022 (2022-02-25), pages 1 - 11, XP093142182
Attorney, Agent or Firm:
BEIJING ELITE GROUP INTELLECTUAL PROPERTY LAW OFFICE (CN)
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