EFFICIENT UTILIZATION OF PROCESSING ELEMENT ARRAY

    公开(公告)号:US20210158132A1

    公开(公告)日:2021-05-27

    申请号:US16698461

    申请日:2019-11-27

    Abstract: A computer-implemented method includes receiving a neural network model for implementation using a processing element array, where the neural network model includes a convolution operation on a set of input feature maps and a set of filters. The method also includes determining, based on the neural network model, that the convolution operation utilizes less than a threshold number of rows in the processing element array for applying a set of filter elements to the set of input feature maps, where the set of filter elements includes one filter element in each filter of the set of filters. The method further includes generating, for the convolution operation and based on the neural network model, a first instruction and a second instruction for execution by respective rows in the processing element array, where the first instruction and the second instruction use different filter elements of a filter in the set of filters.

    IMPROPER NEURAL NETWORK INPUT DETECTION AND HANDLING

    公开(公告)号:US20200184245A1

    公开(公告)日:2020-06-11

    申请号:US16216485

    申请日:2018-12-11

    Abstract: Systems and methods for performing improper input data detection are described. In one example, a system comprises: hardware circuits configured to receive input data and to perform computations of a neural network based on the input data to generate computation outputs; and an improper input detection circuit configured to: determine a relationship between the computation outputs of the hardware circuits and reference outputs; determine that the input data are improper based on the relationship; and perform an action based on determining that the input data are improper.

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