framework-reproducibility


Nameframework-reproducibility JSON
Version 0.5.0 PyPI version JSON
download
home_pagehttps://github.com/NVIDIA/framework-reproducibility
SummaryProviding reproducibility in deep learning frameworks
upload_time2023-06-22 22:58:38
maintainer
docs_urlNone
authorNVIDIA
requires_python
licenseApache 2.0
keywords framework tensorflow gpu deep-learning determinism reproducibility pytorch seed seeder noise noise-reduction variance-reduction atomics ngc gpu-determinism deterministic-ops frameworks gpu-support d9m r13y fwr13y
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            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][1]

[1]: https://github.com/NVIDIA/framework-reproducibility
            

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