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METHODS AND DEVICES FOR OPTIMIZING MACHINE LEARNING MODEL COMPACTNESS AND ACCURACY THROUGH HARDWARE LATENCY HYSTERESIS EFFECT

机译:通过硬件潜伏期滞后效应优化机器学习模型的紧凑性和准确性的方法和设备

摘要

A method for training a machine learning model, including acquiring an initial machine learning model, updating features of the initial machine learning model, updating dimension of the initial machine learning model based on the updated features of the initial machine learning model and one or more latency hysteresis points obtained based on a hardware profile of an accelerator configured to perform machine learning operations, and generating a final machine learning model based on the updated dimensions.
机译:一种训练机器学习模型的方法,包括获取初始机器学习模型,更新初始机器学习模型的特征,基于初始机器学习模型的更新特征和一个或多个等待时间来更新初始机器学习模型的维度。基于配置为执行机器学习操作的加速器的硬件配置文件获得的磁滞点,并基于更新的维度生成最终的机器学习模型。

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