Utilities for efficiently iterating over mini-batches of PyTorch tensors
Project description
This package allows eliminating the over-head incurred by the DataLoader class when iterating over in-memory tensors for training small models. Allows iterating over (shuffled) samples, or groups of samples, such as what is required for learning-to-rank.
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