COMPILER-BASED DEEP LEARNING MODEL PRUNING APPARATUS AND METHOD

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United States of America

APP PUB NO 20250117650A1
SERIAL NO

18612169

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Abstract

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Disclosed herein are a compiler-based deep learning model pruning apparatus and method. The compiler-based deep learning model pruning method includes extracting multiple subgraphs from a first deep learning model, generating programs representing respective tasks allocated to the extracted multiple subgraphs, compiling the first deep learning model based on selected programs and measuring execution times of tasks of the first deep learning model on respective devices, and creating a second deep learning model by pruning a subgraph corresponding to at least one task selected from among the tasks from the first deep learning model based on the execution times on the respective devices.

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Patent Owner(s)

Patent OwnerAddress
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTEDAEJEON 34129

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  • 2024 Application Filing Year
  • G06N Class
  • 5602 Applications Filed
  • 354 Patents Issued To-Date
  • 6.32 % Issued To-Date

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kwon, Yong-In Daejeon, KR 1 0
Lee, Je-Min Daejeon, KR 7 37

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