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    Counting elements in neural network input data
    2.
    发明授权
    Counting elements in neural network input data 有权

    公开(公告)号：US11734002B2

    公开(公告)日：2023-08-22

    申请号：US16697687

    申请日：2019-11-27

    申请人： Shanghai Cambricon Information Technology Co., Ltd.

    发明人： Tianshi Chen ,  Jie Wei ,  Tian Zhi ,  Zai Wang

    IPC分类号： G06F9/30 ,  G06N3/04 ,  G06N3/08 ,  G06F7/46

    CPC分类号： G06F9/30 ,  G06F7/46 ,  G06F9/30007 ,  G06N3/04 ,  G06N3/08

    摘要： The present disclosure provides a counting device and counting method. The device includes a storage unit, a counting unit, and a register unit, where the storage unit may be connected to the counting unit for storing input data to be counted and storing a number of elements satisfying a given condition in the input data after counting; the register unit may be configured to store an address where input data to be counted is stored in the storage unit; and the counting unit may be connected to the register unit, and may be configured to acquire a counting instruction, read a storage address of the input data to be counted in the register unit according to the counting instruction, acquire corresponding input data to be counted in the storage unit, perform statistical counting on a number of elements in the input data to be counted that satisfy the given condition, and obtain a counting result. The counting device and the method may improve the computation efficiency by writing an algorithm of counting a number of elements that satisfy a given condition in input data into an instruction form.

    PROCESSING METHOD AND ACCELERATING DEVICE
    5.
    发明申请
    PROCESSING METHOD AND ACCELERATING DEVICE 审中-公开

    公开(公告)号：US20200097826A1

    公开(公告)日：2020-03-26

    申请号：US16699027

    申请日：2019-11-28

    申请人： Shanghai Cambricon Information Technology Co., Ltd.

    发明人： Zidong Du ,  Xuda Zhou ,  Shaoli Liu ,  Tianshi Chen

    IPC分类号： G06N3/08 ,  G06N3/04 ,  G06F13/16 ,  G06F1/3296 ,  G06F9/38

    摘要： The present disclosure provides a processing device including: a coarse-grained pruning unit configured to perform coarse-grained pruning on a weight of a neural network to obtain a pruned weight, an operation unit configured to train the neural network according to the pruned weight. The coarse-grained pruning unit is specifically configured to select M weights from the weights of the neural network through a sliding window, and when the M weights meet a preset condition, all or part of the M weights may be set to 0. The processing device can reduce the memory access while reducing the amount of computation, thereby obtaining an acceleration ratio and reducing energy consumption.

    PROCESSING METHOD AND ACCELERATING DEVICE
    6.
    发明申请
    PROCESSING METHOD AND ACCELERATING DEVICE 审中-公开

    公开(公告)号：US20200097806A1

    公开(公告)日：2020-03-26

    申请号：US16699029

    申请日：2019-11-28

    申请人： Shanghai Cambricon Information Technology Co., Ltd.

    发明人： Tianshi Chen ,  Yifan Hao ,  Shaoli Liu

    IPC分类号： G06N3/063 ,  G06N3/04 ,  G06F12/0875 ,  G06N3/08

    摘要： The present disclosure provides a processing device including: a coarse-grained pruning unit configured to perform coarse-grained pruning on a weight of a neural network to obtain a pruned weight, an operation unit configured to train the neural network according to the pruned weight. The coarse-grained pruning unit is specifically configured to select M weights from the weights of the neural network through a sliding window, and when the M weights meet a preset condition, all or part of the M weights may be set to 0. The processing device can reduce the memory access while reducing the amount of computation, thereby obtaining an acceleration ratio and reducing energy consumption.