公开(公告)号：US20230042397A1

公开(公告)日：2023-02-09

申请号：US17758166

申请日：2020-11-19

Applicant: Huawei Technologies Co., Ltd.

Inventor： Qinghua YU ,  Mohan LIU ,  Zhicheng SUI ,  Li ZHOU ,  Lixun BAI

IPC: G06N5/04 ,  G06N3/08 ,  G06N3/04 ,  G06N3/063

Abstract: This application relates to the field of artificial intelligence technologies, and discloses a machine learning model search method, a related apparatus, and a device. In the method, before model search and quantization, a plurality of single bit models are generated based on a to-be-quantized model, and evaluation parameters of layer structures in the plurality of single bit models are obtained. Further, after a candidate model selected from a candidate set is trained and tested, to obtain a target model, a quantization weight of each layer structure in the target model may be determined based on a network structure of the target model and evaluation parameters of all layer structures in the target model, a layer structure with a maximum quantization weight in the target model is quantized, and a model obtained through quantization is added to the candidate set.

公开(公告)号：US20170228287A1

公开(公告)日：2017-08-10

申请号：US15581150

申请日：2017-04-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yufei WANG ,  Chuanjun WU ,  Zhicheng SUI

IPC: G06F11/14 ,  G06F11/16

CPC classification number: G06F11/1415 ,  G06F11/1658 ,  G06F2201/805 ,  H04L41/00 ,  H04L41/0654

Abstract: The present application provides a method for planning a recovery resource for resisting N-time faults and an optical transmission device, and the method includes: planning, on an optical transmission device according to preset network planning information, a recovery resource for resisting (N−1)-time faults for preset (N−1)-time faults, and the recovery resource for resisting (N−1)-time faults is an optimal recovery resource corresponding to each interrupted service during the preset (N−1)-time faults; and planning, by the optical transmission device according to the network planning information and the recovery resource for resisting (N−1)-time faults, a recovery resource for resisting N-time faults for preset N-time faults, where the recovery resource for resisting N-time faults is a network-wide optimal recovery resource corresponding to interrupted services during the N-time faults. According to the present application, recovery resource costs can be reduced, and recovery resource planning reliability can be improved.