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公开(公告)号：US20240143496A1
公开(公告)日：2024-05-02
申请号：US18406236
申请日：2024-01-08
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
IPC: G06F12/02
CPC classification number: G06F12/0223 , G06F2212/251
Abstract: In a data processing method performed by a chip comprising a processor and a computing core, the processor receives metadata of first data and metadata of second data. The second data is obtained by performing a first operation on the first data, and memory addresses corresponding to elements at adjacent positions in each row of the second data are discontinuous. The processor compares the metadata of the second data with the metadata of the first data to determine the first operation, and further determines a second operation matching the first operation. The computing core then obtains third data based on the first data and the second operation, wherein memory addresses corresponding to elements at adjacent positions in each row of the third data are continuous.
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Patent Agency Ranking
公开(公告)号：US20230359485A1
公开(公告)日：2023-11-09
申请号：US18344767
申请日：2023-06-29
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Ke He , Chunsheng Li
IPC: G06F9/48
CPC classification number: G06F9/4843
Abstract: For a problem that costs of matching a new data format by a current artificial intelligence system are high, an artificial intelligence system and a corresponding data processing method and apparatus are provided, to perform, based on an artificial intelligence task from a user, format conversion on input data corresponding to the artificial intelligence task, so that a data format used by the artificial intelligence system for processing the artificial intelligence task can be extended with low costs, and the artificial intelligence system can select a proper data format to process the artificial intelligence task.
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公开(公告)号：US20240062116A1
公开(公告)日：2024-02-22
申请号：US18494444
申请日：2023-10-25
Applicant: Huawei Technologies Co., Ltd.
Inventor： Ke He
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: In accordance with an embodiment, a model processing method includes obtaining a machine learning model, where the machine learning model includes a flag bit; determining an operator queue of a first operator in the machine learning model, where the first operator is an operator corresponding to the flag bit in the machine learning model; determining a first computational graph of the operator queue; and training the machine learning model based on the first computational graph.
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公开(公告)号：US11665100B2
公开(公告)日：2023-05-30
申请号：US16894425
申请日：2020-06-05
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Ke He , Zhitang Chen , Yunfeng Shao
IPC: G06T7/00 , H04L47/2483 , G06T7/33 , H04L69/22 , G06N3/045 , G06V10/764 , G06V10/82 , G06V10/94 , G06V20/40
CPC classification number: H04L47/2483 , G06N3/045 , G06T7/33 , G06V10/764 , G06V10/82 , G06V10/95 , G06V20/46 , H04L69/22
Abstract: This application provides a data stream identification method and apparatus and belongs to the field of Internet technologies. The method includes: obtaining packet transmission attribute information of N consecutive packets in a target data stream; generating feature images of the packet transmission attribute information of the N consecutive packets based on the packet transmission attribute information of the N consecutive packets; and inputting the feature images into a pre-trained image classification model, to obtain a target application identifier corresponding to the target data stream. According to this application, accuracy of identifying an application identifier corresponding to a data stream can be improved.
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公开(公告)号：US20240143397A1
公开(公告)日：2024-05-02
申请号：US18410757
申请日：2024-01-11
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
CPC classification number: G06F9/5016 , G06F9/544
Abstract: A data processing method and system, and a related device are described. The data processing system includes a processor and a computing core. The method includes the processor receiving metadata of first data and metadata of second data, where the second data is obtained by performing a first operation set on the first data, the first operation set includes at least two first operations, and memory addresses corresponding to elements at adjacent positions in each row of the second data are discontinuous. The processor identifies the first operation set based on the metadata of the second data, and determines a second operation set that matches the first operation set. The computing core obtains third data based on the first data and the second operation set, where memory addresses corresponding to elements at adjacent positions in each row of the third data are continuous.
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公开(公告)号：US20230350676A1
公开(公告)日：2023-11-02
申请号：US18350907
申请日：2023-07-12
Applicant: Huawei Technologies Co., Ltd.
CPC classification number: G06F9/30036 , G06F9/3836
Abstract: A tensor processing method by a first processor includes obtaining a plurality of first tensors; copying the plurality of first tensors into a second tensor, wherein the plurality of first tensors included in the second tensor occupy consecutive spaces in the second tensor; receiving a first processing instruction from a second processor, wherein the first processing instruction includes a first identifier that indicates the second tensor and a first processing identifier that indicates a first processing operation; and processing the second tensor based on the first processing operation.
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