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METHOD, DEVICE AND ELECTRONIC EQUIPMENT FOR DEPLOYING OPERATORS IN DEEP LEARNING FRAMEWORK

机译:用于在深度学习框架中部署运营商的方法,设备和电子设备

摘要

This application discloses an operator arrangement method, apparatus, and electronic device in a deep learning framework, and relates to an artificial intelligence technology field such as deep learning. Concrete implementation means include: obtaining a source file of the operator; translating the source file of the operator to form a dynamic link library of the operator; generating an interface file of the dynamic link library conversion of the operator; generating an installable library file according to the dynamic link library and the interface file; and installing the installable library file in the target programming language library, can completely hide all processes of operator installation, and can greatly reduce the user's learning cost, and at the same time, the operator in the deep learning framework can improve the efficiency, flexibility and reliability of the deployment process.
机译:本申请公开了一种在深度学习框架中的操作员布置方法,装置和电子设备,并且涉及一种人工智能技术领域,例如深度学习。 具体实施方式包括:获取操作员的源文件; 翻译操作员的源文件以形成操作员的动态链接库; 生成操作员的动态链接库转换的接口文件; 根据动态链接库和接口文件生成可安装的库文件; 并在目标编程语言库中安装可安装的库文件,可以完全隐藏操作员安装的所有进程,并可以大大降低用户的学习成本,同时,操作员在深度学习框架中可以提高效率,灵活性 和部署过程的可靠性。

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