A tour of torchdata
Read OriginalThis technical article explores the internals of PyTorch's torchdata library, explaining how datapipes (iterative and map-style) form a computational graph to efficiently load, decode, and preprocess data. It details how optimizing this data pipeline is crucial for overcoming GPU memory bandwidth bottlenecks in modern machine learning workflows.
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