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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Main Authors | , , , |
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Format | Patent |
Language | English French German |
Published |
03.11.2021
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Subjects | |
Online Access | Get full text |
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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. |
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Bibliography: | Application Number: EP20210164054 |