Samplers

Samplers control the order in which samples are accessed from a dataset. They determine the indices that the DataLoader uses to fetch data.

Sampler Base Class

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Sequential Sampler

Accesses samples in order from 0 to N-1. Use this for evaluation or when order matters.

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Random Sampler

Accesses samples in random order. Use this for training to ensure the model sees samples in different orders each epoch.

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Distributed Random Sampler

For distributed training, ensures each process gets a different subset of the data without overlap.

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Distributed Sampler (Base)

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Distributed Sequential Sampler

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Stream Sampler

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