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公开(公告)号：EP4113390A2
公开(公告)日：2023-01-04
申请号：EP22208202.6
申请日：2022-11-18
发明人： WANG, Haifeng , HU, Xiaoguang , YU, Dianhai , LAN, Xiang , MA, Yanjun
摘要： The disclosure provides a method for processing data, and an electronic device. The method includes: obtaining first attribute information of input data and second attribute information of a computing device corresponding to the input data; selecting a target operator implementation mode from a plurality of candidate operator implementation modes based on the first attribute information and the second attribute information; determining a plurality of sub-operators included in an operator required for the input data from an operator library based on the target operator implementation mode, to generate the operator; and obtaining an operation result by performing an operation on the input data by the computing device based on the operator.
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公开(公告)号：EP4113390A3
公开(公告)日：2023-05-03
申请号：EP22208202.6
申请日：2022-11-18
发明人： WANG, Haifeng , HU, Xiaoguang , YU, Dianhai , LAN, Xiang , MA, Yanjun
摘要： The disclosure provides a method for processing data, and an electronic device. The method includes: obtaining first attribute information of input data and second attribute information of a computing device corresponding to the input data; selecting a target operator implementation mode from a plurality of candidate operator implementation modes based on the first attribute information and the second attribute information; determining a plurality of sub-operators included in an operator required for the input data from an operator library based on the target operator implementation mode, to generate the operator; and obtaining an operation result by performing an operation on the input data by the computing device based on the operator.
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3.发明公开
公开(公告)号：EP3996009A1
公开(公告)日：2022-05-11
申请号：EP21197920.8
申请日：2021-09-21
发明人： ZHANG, Liujie , LI, Yamei , ZHENG, Huihuang , LIU, Hongyu , LAN, Xiang , YU, Dianhai , MA, Yanjun , WU, Tian , WANG, Haifeng
IPC分类号： G06N20/00
摘要： According to exemplary embodiments of the present disclosure, there is provided a method and apparatus of converting a schema in a deep learning framework, and a computer storage medium, and a computer program product, which may be used for a construction of the deep learning framework. The method of converting the schema in the deep learning framework includes: updating a first schema, based on first syntax elements in the first schema and a context relationship between the first syntax elements in the first schema, so as to obtain an updated first schema; generating second syntax elements corresponding to updated first syntax elements in the updated first schema, based on a mapping relationship between the updated first syntax elements in the updated first schema and second syntax elements in a second schema system; and combining the second syntax elements according to a context relationship between the updated first syntax elements, so as to generate a second schema. According to a solution of the present disclosure, the schema conversion may be performed efficiently.
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