公开(公告)号：US20220058491A1

公开(公告)日：2022-02-24

申请号：US17520197

申请日：2021-11-05

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Dmitry Yurievich IGNATOV ,  Alexander Nikolaevich FILIPPOV ,  Xueyi ZOU

IPC: G06N3/08 ,  G06N3/04

Abstract: The present application relates to the field of neural networks, in particular Binary Neural Networks (BNN). The application proposes a device and method for regularization of a BNN. The device is configured to obtain binary weights of the BNN, and to change the binary weights of the BNN using a backpropagation method. Thereby, changing the binary weights increases or minimizes decrease of an information entropy of a weight distribution.

公开(公告)号：US20250080768A1

公开(公告)日：2025-03-06

申请号：US18950354

申请日：2024-11-18

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Alexander Nikolaevich FILIPPOV ,  Kirill Igorevich SOLODSKIKH ,  Vladimir Maximovich CHIKIN ,  Dehua SONG ,  Stanislav Yuryevich KAMENEV ,  Irina ZHELAVSKAYA

IPC: H04N19/48 ,  H04N9/69 ,  H04N19/124

Abstract: Embodiments of this application provide a method method for transforming data and a related device. The method includes: obtaining an input image, wherein the input image includes N pixels, Nis a positive integer; performing a nonlinear transformation on values of the N pixels to obtain N first pixel values; obtaining, according to a quantized model and the N first pixel values, M second pixel values, wherein M is a positive integer; performing a reverse transformation corresponding to the nonlinear transformation on the M second pixel values to obtain M third pixel values; determining, according to the M third pixels values, an output image.

公开(公告)号：US20200159590A1

公开(公告)日：2020-05-21

申请号：US16750955

申请日：2020-01-23

Applicant: Huawei Technologies Co., Ltd.

Inventor： Mikhail Petrovich LEVIN ,  Alexander Nikolaevich FILIPPOV ,  Youliang YAN

IPC: G06F9/50

Abstract: The present disclosure relates to a multicore processor. In order to select one of the multiple cores in such a multicore processor, an execution time of tasks which are performed multiple times is determined. Based on the determined execution time on the individual cores, an appropriate core for further executions of a task is selected. Additionally, the present disclosure further provides a code generator and code generating method for providing appropriate machine code for a multicore processor.