https://github.com/NVIDIA/framework-reproducibility

Providing reproducibility in deep learning frameworks
https://github.com/NVIDIA/framework-reproducibility

atomics d9m deep-learning determinism deterministic-ops frameworks fwr13y gpu-determinism gpu-support ngc noise noise-reduction pytorch r13y reproducibility seed seeder tensorflow variance-reduction

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Providing reproducibility in deep learning frameworks

• Host: GitHub
• URL: https://github.com/NVIDIA/framework-reproducibility
• Owner: NVIDIA
• License: apache-2.0
• Created: 2019-03-18T20:51:45.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-10-20T21:27:53.000Z (8 months ago)
• Last Synced: 2024-01-12T11:43:14.378Z (6 months ago)
• Topics: atomics, d9m, deep-learning, determinism, deterministic-ops, frameworks, fwr13y, gpu-determinism, gpu-support, ngc, noise, noise-reduction, pytorch, r13y, reproducibility, seed, seeder, tensorflow, variance-reduction
• Language: Python
• Homepage:
• Size: 1.19 MB
• Stars: 414
• Watchers: 30
• Forks: 37
• Open Issues: 12
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-stars - NVIDIA/framework-reproducibility - Providing reproducibility in deep learning frameworks (Python)

README

        
# Framework Reproducibility (fwr13y)

## Repository Name Change

The name of this GitHub repository was changed to

`framework-reproducibility` on 2023-02-14. Prior to this, it was named

`framework-determinism`. Before that, it was named `tensorflow-determinism`.

"In addition to redirecting all web traffic, all `git clone`, `git fetch`, or

`git push` operations targetting the previous location[s] will continue to

function as if made to the new location. However, to reduce confusion, we

strongly recommend updating any existing local clones to point to the new

repository URL." -- [GitHub documentation][1]

## Repository Intention

This repository is intended to:

* provide documentation, status, patches, and tools related to

  [determinism][2] (bit-accurate, run-to-run reproducibility) in deep learning

  frameworks, with a focus on determinism when running on GPUs, and

* provide a tool, and related guidelines, for reducing variance

  ([Seeder][3]) in deep learning frameworks.

[1]: https://docs.github.com/en/repositories/creating-and-managing-repositories/renaming-a-repository

[2]: ./doc/d9m/README.md

[3]: ./doc/seeder/README.md