- 专利标题: Method and system for making an artifical intelligence inference using a watermark-inherited kernel for a data processing accelerator
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申请号: US16598318申请日: 2019-10-10
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公开(公告)号: US11740940B2公开(公告)日: 2023-08-29
- 发明人: Yueqiang Cheng , Yong Liu
- 申请人: Baidu USA LLC , KUNLUNXIN TECHNOLOGY (BEIJING) COMPANY LIMITED
- 申请人地址: US CA Sunnyvale
- 专利权人: BAIDU USA LLC,KUNLUNXIN TECHNOLOGY (BEIJING) COMPANY LIMITED
- 当前专利权人: BAIDU USA LLC,KUNLUNXIN TECHNOLOGY (BEIJING) COMPANY LIMITED
- 当前专利权人地址: US CA Sunnyvale; CN Beijing
- 代理机构: Womble Bond Dickinson (US) LLP
- 主分类号: G06F9/50
- IPC分类号: G06F9/50 ; G06N5/04 ; G06N20/10 ; G06F21/16
摘要:
In one embodiment, a computer-implemented method performed by a data processing (DP) accelerator, includes receiving, at the DP accelerator, an artificial intelligence (AI) model that has been previously trained and a set of input data from a host processor; receiving, at the DP accelerator, a watermark kernel from the host processor; executing the watermark kernel within the DP accelerator on the AI model and the set of input data. The watermark kernel, when executed, is configured to: generate a new watermark by inheriting an existing watermark from a data object of the set of input data or the AI model, perform an AI inference using the AI model based on the input data to generate output data, and implant the new watermark within the output data. The DP accelerator then transmits output data having the new watermark implanted therein to the host processor.
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