Dr. James McCaffrey of Microsoft Research provides a full code sample and screenshots to explain how to create and use PyTorch Dataset and DataLoader objects, used to serve up training or test data in ...

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 资源，这哥工程量可不小，调试 ...

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 ...