Method and apparatus with neural network processing

    公开(公告)号:US11836463B2

    公开(公告)日:2023-12-05

    申请号:US17106266

    申请日:2020-11-30

    CPC classification number: G06F7/5443 G06F7/57 G06F9/3001 G06G7/16 G06N3/063

    Abstract: A neural network device includes a shift register circuit, a control circuit, and a processing circuit. The shift register circuit includes registers configured to, in each cycle of cycles, transfer stored data to a next register and store new data received from a previous register to a current register. The control circuit is configured to sequentially input data of input activations included in an input feature map into the shift register circuit in a preset order. The processing circuit, includes crossbar array groups that receive input activations from at least one of the registers and perform a multiply-accumulate (MAC) operation with respect to the received input activation and weights, is configured to accumulate and add at least some operation results output from the crossbar array groups in a preset number of cycles to obtain an output activation in an output feature map.

    METHOD AND APPARATUS WITH NEURAL NETWORK PROCESSING

    公开(公告)号:US20220019408A1

    公开(公告)日:2022-01-20

    申请号:US17106266

    申请日:2020-11-30

    Abstract: A neural network device includes a shift register circuit, a control circuit, and a processing circuit. The shift register circuit includes registers configured to, in each cycle of cycles, transfer stored data to a next register and store new data received from a previous register to a current register. The control circuit is configured to sequentially input data of input activations included in an input feature map into the shift register circuit in a preset order. The processing circuit, includes crossbar array groups that receive input activations from at least one of the registers and perform a multiply-accumulate (MAC) operation with respect to the received input activation and weights, is configured to accumulate and add at least some operation results output from the crossbar array groups in a preset number of cycles to obtain an output activation in an output feature map.

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