Convolution streaming engine for deep neural networks

    公开(公告)号:US11593637B2

    公开(公告)日:2023-02-28

    申请号:US16399928

    申请日:2019-04-30

    Abstract: A method, an electronic device, and computer readable medium are provided. The method includes receiving an input into a neural network that includes a kernel. The method also includes generating, during a convolution operation of the neural network, multiple panel matrices based on different portions of the input. The method additionally includes successively combining each of the multiple panel matrices with the kernel to generate an output. Generating the multiple panel matrices can include mapping elements within a moving window of the input onto columns of an indexing matrix, where a size of the window corresponds to the size of the kernel.

    SYSTEM AND METHOD FOR CONVOLUTIONAL LAYER STRUCTURE FOR NEURAL NETWORKS

    公开(公告)号:US20200349439A1

    公开(公告)日:2020-11-05

    申请号:US16400007

    申请日:2019-04-30

    Abstract: An electronic device, method, and computer readable medium for 3D association of detected objects are provided. The electronic device includes a memory and at least one processor coupled to the memory. The at least one processor configured to convolve an input to a neural network with a basis kernel to generate a convolution result, scale the convolution result by a scalar to create a scaled convolution result, and combine the scaled convolution result with one or more of a plurality of scaled convolution results to generate an output feature map.

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