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ENH Add FastTensorDataLoader for large tabular datasets - #28
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#9
This pull request introduces a high-performance data loader for large tabular datasets in FastAI, inspired by hand-rolled PyTorch implementations. The FastTensorDataLoader bypasses the overhead of standard DataLoaders by directly using PyTorch tensors, enabling significantly faster data loading for very large datasets.
Key Features:
Efficient batching directly from tensors
Minimal overhead compared to standard DataLoader
Compatible with FastAI’s DataLoaders wrapper
Implementation Details:
Module: fastai/data/fast_tensor_dataloader.py
Classes:
FastTensorDataset: wraps multiple tensors as a Dataset
FastTensorDataLoader: lightweight DataLoader for tensor datasets
Unit Tests: tests/unit/data/test_fast_tensor_dataloader.py
Documentation: added usage instructions in docs/user_guide/mitigation.rst