METHOD AND APPARATUS FOR MONITORING OPERATOR COMPATIBILITY WITHIN A DEEP LEARNING FRAMEWORK

The present disclosure relates to a method and an apparatus for monitoring operator compatibility within a deep learning framework, a computing system, and a computer-readable storage medium, and relates to the field of deep learning. The method comprises: generating description information associat...

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Bibliographic Details
Main Authors ZHENG, Huihuang, LUO, Tao, LAN, Xiang, LI, Yamei
Format Patent
LanguageEnglish
French
German
Published 03.11.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The present disclosure relates to a method and an apparatus for monitoring operator compatibility within a deep learning framework, a computing system, and a computer-readable storage medium, and relates to the field of deep learning. The method comprises: generating description information associated with at least one original operator and description information associated with at least one modified operator, wherein the description information is associated with the operator compatibility; determining differences between the description information associated with the at least one original operator and that associated with the at least one modified operator; determining whether the differences meet a preset rule; and prompting information about incompatibility in response to determining that at least one of the differences does not meet the preset rule.
Bibliography:Application Number: EP20210164054