MONITORING OPERATOR COMPATIBILITY WITHIN A DEEP LEARNING FRAMEWORK

A method for monitoring operator compatibility within a deep learning framework, a computing system, and a non-transitory computer-readable storage medium are provided. The present disclosure relates to the field of deep learning. The method includes: generating first description information associated with at least one original operator and second description information associated with at least one modified operator, determining differences between the first description information associated with the at least one original operator and the second description information associated with the at least one modified operator, determining whether the differences satisfy a preset rule; and prompting information about incompatibility in response to determining that at least one of the differences does not satisfy the preset rule. The first and second description information are associated with the operator compatibility.