Adaptive Search Method and Apparatus for Neural Network

    公开(公告)号:US20220351019A1

    公开(公告)日:2022-11-03

    申请号:US17864521

    申请日:2022-07-14

    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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