NEURAL NETWORK ACCELERATION DEVICE AND METHOD

    公开(公告)号:US20210044303A1

    公开(公告)日:2021-02-11

    申请号:US17080138

    申请日:2020-10-26

    Abstract: A neural network acceleration device includes a processor and a storage medium. The storage medium stores instructions that, when executed by the processor, cause the processor to obtain an input feature value, perform computation processing on the input feature value to obtain an output feature value, and in response to a fixed-point format of the output feature value being different from a predetermined fixed-point format, perform at least one of a low bit shifting operation or a high bit truncation operation on the output feature value according to the predetermined fixed-point format to obtain a target output feature value. A fixed-point format of the target output feature value is the predetermined fixed-point format.

    METHOD, APPARATUS, ACCELERATOR, SYSTEM AND MOVABLE DEVICE FOR PROCESSING NEURAL NETWORK

    公开(公告)号:US20200285942A1

    公开(公告)日:2020-09-10

    申请号:US16884729

    申请日:2020-05-27

    Abstract: A method for processing across neural networks includes: when processing a last block of a plurality of blocks of an i-th layer of a first neural network, reading data of a first block of a plurality of blocks of a k-th layer of a second neural network from a memory; and processing the first block of the plurality of blocks of the k-th layer of the second neural network according to the data of the first block of the plurality of blocks of the k-th layer of the second neural network after processing the last block of the plurality of blocks of the i-th layer of the first neural network. 1≤i≤N, N is a number of layers of the first neural network; and 1≤k≤M, M is a number of layers of the second neural network.

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