This package provides patches and tools related to determinism (bit-accurate, run-to-run reproducibility) in deep learning frameworks, with a focus on determinism when running on GPUs, and a tool (Seeder) for reducing variance in deep learning frameworks.
For further information, see the documentation in the associated open-source repository: GitHub/NVIDIA/framework-reproducibility
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Release files for framework-reproducibility 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| framework-reproducibility-0.6.0.tar.gz | 8.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| framework_reproducibility-0.6.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 27.3 kB
Release files / framework-reproducibility-0.6.0.tar.gz
| Download URL | framework-reproducibility-0.6.0.tar.gz |
|---|---|
| Size | 8.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/1.15.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.19.5 CPython/2.7.12
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Release files / framework_reproducibility-0.6.0-py2.py3-none-any.whl
| Download URL | framework_reproducibility-0.6.0-py2.py3-none-any.whl |
|---|---|
| Size | 19.2 kB |
| Tags | Python 2 Python 3 |
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| Uploaded via |
twine/1.15.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.19.5 CPython/2.7.12
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