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parallel_dataloader

This package containes a custom dataloader that loads datasets in hdf5 format from a directory. It is capable of loading large datasets to GPU or RAM by cycling chunks of data through RAM or VRAM in a separate thread and as a result greatly speeding up training. For usage examples check out the tests.

Installation

To install the dataloader use

pip install -e .

To install the dataloader with testing capabilities use

pip install -e .[test]

Note, you might have to write

pip install -e '.[test]'

Testing

Run tests with:

python -m pytest tests

Or with printouts:

python -m pytest -s tests

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