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

机译:用于监控深度学习框架内的操作员兼容性的方法和装置

摘要

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.
机译:本公开涉及一种用于监视深度学习框架,计算系统和计算机可读存储介质内的操作员兼容性的方法和装置,并且涉及深度学习领域。 该方法包括:生成与至少一个原始操作员相关联的描述信息和与至少一个修改操作员相关联的描述信息,其中描述信息与操作员兼容性相关联; 确定与至少一个原始操作员相关联的描述信息之间的差异,并且与至少一个修改的操作员相关联; 确定差异是否符合预设规则; 并提示有关不兼容的信息,以响应确定至少一个差异不符合预设规则。

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