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Method and device for deep learning task, and computer readable storage medium

机译:深度学习任务的方法和设备,以及计算机可读存储介质

摘要

To provide a processing method and device for a deep learning task, and a computer-readable recording medium for improving the robustness of a training process that ensure the speed of model training, can reduce or avoid the problem that data is lost due to the occurrence of an abnormal incident, and can avoid an excessive influence on the model training and the other nodes.SOLUTION: A processing method includes: having a local storage and a network storage mounted on an application container; introducing sufficient training data before every model training to perform training of a model based on the training data introduced to the local storage; in a model training process, performing both reading of the training data and storage of an intermediate model file in the local storage; and transferring the intermediate model file of the model training to a network storage device in a timely manner.SELECTED DRAWING: Figure 2
机译:为了提供深度学习任务的处理方法和设备,以及用于提高培训过程的鲁棒性的计算机可读记录介质,可以减少或避免由于发生而损失数据的问题 异常事件,可以避免对模型训练和其他节点的过度影响。案例:一种处理方法包括:具有本地存储和安装在应用程序容器上的网络存储器; 在每种模型培训之前引入足够的培训数据,以便根据引入本地存储的培训数据进行模型的培训; 在模型培训过程中,在本地存储中执行读取训练数据和存储中间模型文件的读取; 并及时将模型训练的中间模型文件传输到网络存储设备。选择绘图:图2

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