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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 apparatus for monitoring operator compatibility in a deep learning framework, a computing system, and a computer-readable storage medium, and to the field of deep learning. The method comprises the steps of: generating description information associated with at least one existing operator and description information associated with at least one modified operator, wherein the description information is associated with operator compatibility; Determining a difference between description information associated with at least one existing operator and description information associated with at least one modified operator; Determining whether the difference satisfies a preset rule; And presenting information indicating incompatibility in response to a determination that at least one of the differences does not satisfy the preset rule.
机译:本公开涉及一种用于监视在深度学习框架,计算系统和计算机可读存储介质中的操作员兼容性的方法和装置,以及深度学习领域。该方法包括以下步骤:生成与至少一个现有操作员相关联的描述信息和与至少一个修改的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;确定与至少一个现有运营商相关联的描述信息之间的差异和与至少一个修改的操作员相关联的描述信息;确定差异是否满足预设规则;并呈现指示不兼容的信息,以响应确定至少一个差异不满足预设规则。

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