Invention Application
- Patent Title: Adaptive Search Method and Apparatus for Neural Network
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Application No.: US17864521Application Date: 2022-07-14
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Publication No.: US20220351019A1Publication Date: 2022-11-03
- Inventor: Minqi Chen , Chuanyun Deng , Xiangyu Hu , Shaohua Tang
- Applicant: Huawei Technologies Co., Ltd.
- Applicant Address: CN Shenzhen
- Assignee: Huawei Technologies Co., Ltd.
- Current Assignee: Huawei Technologies Co., Ltd.
- Current Assignee Address: CN Shenzhen
- Priority: CN202010044288.8 20200115
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08

Abstract:
An adaptive search method includes: receiving a search condition set comprising target hardware platform information, network structure information of a source neural network, and one or more evaluation metrics; performing a training process on a to-be-trained super network based on a training dataset to obtain a trained super network, by extending a network structure of the source neural network; and performing a subnet search process on the trained super network based on the one or more evaluation metrics to obtain network structure information of a target neural network, which represents the target neural network and an evaluation result of the target neural network running on a target hardware platform is better than an evaluation result of the source neural network running on the target hardware platform.
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