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    DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND DATA PROCESSING PROGRAM
    14.
    发明申请
    DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND DATA PROCESSING PROGRAM 有权

    公开(公告)号：US20250036715A1

    公开(公告)日：2025-01-30

    申请号：US18715083

    申请日：2021-12-03

    Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION

    Inventor： Saki HATTA ,  Hiroyuki UZAWA ,  Shuhei YOSHIDA ,  Yuko IINUMA ,  Yuya OMORI ,  Daisuke KOBAYASHI ,  Ken NAKAMURA

    IPC: G06F17/15

    Abstract: There is provided a data processing device 10 that performs a convolution operation of two pieces of input data of 2M×N bits (N is a positive integer and M is a natural number) width with a minimum accuracy of the convolution operation being N bits, and performs processing corresponding to a plurality of the consecutive M, the data processing device 10 including: a product-sum operation unit 101 that performs a product-sum operation according to the value of M; a shifter 102 that performs shift processing on a result of a product-sum operation of the product-sum operation unit 101 in a case where the value of M is not 0; an addition unit 103 that performs addition processing on each output of the shifter 102 or the product-sum operation unit 101 according to the value of M; a selector 105 that selects an output from the addition unit 103 according to the value of M; a cumulative addition unit 106 that cumulatively adds the outputs from the selector 105; and a cumulative addition memory 107 that stores outputs from the cumulative addition unit 106 in a process of a convolution operation.

    CONVOLUTIONAL NEURAL NETWORK INFERENCE PROCESSING DEVICE AND CONVOLUTIONAL NEURAL NETWORK INFERENCE PROCESSING METHOD
    15.
    发明公开
    CONVOLUTIONAL NEURAL NETWORK INFERENCE PROCESSING DEVICE AND CONVOLUTIONAL NEURAL NETWORK INFERENCE PROCESSING METHOD 审中-公开

    公开(公告)号：US20240289593A1

    公开(公告)日：2024-08-29

    申请号：US18572329

    申请日：2021-06-25

    Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION

    Inventor： Shuhei YOSHIDA ,  Hiroyuki UZAWA ,  Daisuke KOBAYASHI ,  Ken NAKAMURA ,  Saki HATTA ,  Yuya OMORI

    IPC: G06N3/0464

    CPC classification number: G06N3/0464

    Abstract: A first aspect of the present disclosure is a convolutional neural network inference processing device that performs processing in a convolutional neural network including a plurality of convolution layers and a residual layer that adds intermediate data related to the plurality of convolution layers as an addition target to a processing result by the plurality of convolution layers for each tile that is data obtained by dividing input data into a predetermined size, the convolutional neural network inference processing device including an inconsistency data storage unit that stores inconsistency data that is data at a portion where there is inconsistency between the processing result and the intermediate data, a past layer data storage unit that stores past layer data that is an addition target in a residual layer generated using inconsistency data related to the tile for which processing has been performed in a past and the intermediate data, and a processing unit that performs processing by the plurality of convolution layers and processing by the residual layer that adds the past layer data to the processing result.

    DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND DATA PROCESSING PROGRAM
    16.
    发明公开
    DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND DATA PROCESSING PROGRAM 审中-公开

    公开(公告)号：US20240232593A9

    公开(公告)日：2024-07-11

    申请号：US18269528

    申请日：2020-12-28

    Applicant: NIPPON TELEGRAPH AND TELEPHONE CORPORATION

    Inventor： Saki HATTA ,  Hiroyuki UZAWA ,  Shuhei YOSHIDA ,  Daisuke KOBAYASHI ,  Yuya OMORI ,  Ken NAKAMURA ,  Koyo NITTA

    IPC: G06N3/063

    CPC classification number: G06N3/063

    Abstract: In a data processing device, a fixed-point position control unit determines, as first control. The fixed-point position control unit causes a detection calculation unit to perform calculation processing on processing target data at a processing point in time. The saturation rate control unit instructs, as second control to be repeated by the fixed-point position control unit, the fixed-point position control unit to move at least the fixed-point position as control to increase a lower limit saturation rate proportional to a magnitude of a counted lower limit counter value with respect to a result of the first control. The fixed-point position control unit performs, as the second control, a predetermined determination on the basis of the instruction from the saturation rate control unit and the metadata, determines the fixed-point position moved for each layer, and causes calculation processing to be performed.

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