公开(公告)号：US11449729B2

公开(公告)日：2022-09-20

申请号：US16676757

申请日：2019-11-07

Applicant: Arm Limited

Inventor： Lingchuan Meng ,  Danny Daysang Loh ,  Ian Rudolf Bratt ,  Alexander Eugene Chalfin ,  Tianmu Li

IPC: G06N3/04 ,  G06N3/06 ,  G06N3/08 ,  G06N3/10 ,  G06F17/15 ,  G06F17/16 ,  G06F17/18 ,  G06F30/18 ,  G06F30/20 ,  G06F30/27 ,  G06F30/33 ,  G06F30/367

Abstract: The present disclosure advantageously provides a system and a method for convolving data in a quantized convolutional neural network (CNN). The method includes selecting a set of complex interpolation points, generating a set of complex transform matrices based, at least in part, on the set of complex interpolation points, receiving an input volume from a preceding layer of the quantized CNN, performing a complex Winograd convolution on the input volume and at least one filter, using the set of complex transform matrices, to generate an output volume, and sending the output volume to a subsequent layer of the quantized CNN.

公开(公告)号：US20200151541A1

公开(公告)日：2020-05-14

申请号：US16676757

申请日：2019-11-07

Applicant: Arm Limited

Inventor： Lingchuan Meng ,  Danny Daysang Loh ,  Ian Rudolf Bratt ,  Alexander Eugene Chalfin ,  Tianmu Li

IPC: G06N3/04 ,  G06F17/16 ,  G06F17/15

Abstract: The present disclosure advantageously provides a system and a method for convolving data in a quantized convolutional neural network (CNN). The method includes selecting a set of complex interpolation points, generating a set of complex transform matrices based, at least in part, on the set of complex interpolation points, receiving an input volume from a preceding layer of the quantized CNN, performing a complex Winograd convolution on the input volume and at least one filter, using the set of complex transform matrices, to generate an output volume, and sending the output volume to a subsequent layer of the quantized CNN.