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0.6.0 framework_reproducibility-0.6.0-py2.py3-none-any.whl

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Project: framework-reproducibility
Version: 0.6.0
Filename: framework_reproducibility-0.6.0-py2.py3-none-any.whl
Download: [link]
Size: 19182
MD5: 53afd5d1809317438115e0a6503ee4c0
SHA256: 68b75c67ac9ad8558ee66490fce509ace43f2243a86d50d13dd9f1564b4f02e4
Uploaded: 2023-07-18 00:23:46 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.0
Name: framework-reproducibility
Version: 0.6.0
Summary: Providing reproducibility in deep learning frameworks
Author: NVIDIA
Author-Email: duncan[at]nvidia.com
Home-Page: https://github.com/NVIDIA/framework-reproducibility
License: Apache 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
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Platform: TensorFlow
Platform: PyTorch
Platform: PaddlePaddle
Description-Content-Type: text/markdown
[Description omitted; length: 450 characters]

WHEEL

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Tag: py2-none-any
Tag: py3-none-any

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top_level.txt

fwr13y