TRAINING MODEL ALLOCATION METHOD, APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20250124347A1

    公开(公告)日:2025-04-17

    申请号:US18804240

    申请日:2024-08-14

    Applicant: ZHEJIANG LAB

    Abstract: A training model allocation method, an apparatus, a computer device, and a storage medium are provided. The method includes: acquiring hierarchy information, calculating parameter information, and a training data set of a to-be-trained model; dividing the to-be-trained model into sub-models according to the hierarchy information, and allocating each of sub-models to machine nodes in a training cluster; dividing each of sub-models into sub-model slices according to the calculating parameter information, and allocating each of sub-model slices to computing processors of the machine nodes in the training cluster; dividing the training data set into training data subsets according to the calculating parameter information, and allocating each of training data subsets to the computing processors in the training cluster; and training the to-be-trained model according to all computing processors, sub-model slices, and training data subsets in the training cluster.

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