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NVIDIA
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TransformerEngine
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
https://docs.nvidia.com/deeplearning/transformer-engine/user-guide/index.html
Apache License 2.0
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Apply formatting
#929
Closed
ksivaman
closed
2 weeks ago
ksivaman
commented
2 weeks ago
Description
Format codebase.
Type of change
[ ] Documentation change (change only to the documentation, either a fix or a new content)
[ ] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
[ ] Infra/Build change
[x] Code refractor/formatting.
Changes
Formats the code by applying configs from #919
Checklist:
[x] I have read and followed the
contributing guidelines
[x] The functionality is complete
[ ] I have commented my code, particularly in hard-to-understand areas
[ ] I have made corresponding changes to the documentation
[x] My changes generate no new warnings
[ ] I have added tests that prove my fix is effective or that my feature works
[x] New and existing unit tests pass locally with my changes
Description
Format codebase.
Type of change
Changes
Formats the code by applying configs from #919
Checklist: