点击上方“Deephub Imba”,关注公众号,好文章不错过 !单机 PyTorch 模型跑推理没什么问题，但数据量一旦上到万级、百万级，瓶颈就暴露出来了：内存不够、GPU 利用率低、I/O 拖后腿，更别说还要考虑容错和多机扩展。传统做法是自己写多线程 DataLoader、管理批次队列、手动调度 GPU ...

When using the PyTorch neural network library to create a machine learning prediction model, you must prepare the training data and write code to serve up the data in batches. In situations where the ...