Torch Deterministic
Torch Deterministic is a library for making PyTorch datasets with deterministic and easily reproducible augmentations. More specifically, this library is meant to facilitate the following paradigm:
- None of the global PyTorch pseudorandom number generators (PRNGs) are used.
- Every time the dataset is indexed, a new PRNG is seeded with that index number. This PRNG is used for all randomness needed to make the data point in question.
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Release files for torch-deterministic 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| torch_deterministic-0.1.0.tar.gz | 5.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch_deterministic-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.0 kB
Release files / torch_deterministic-0.1.0.tar.gz
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| Size | 5.7 kB |
| Tags | Source |
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| Size | 6.3 kB |
| Tags | Python 3 |
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