NVIDIA / 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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Remove leftover implementations for optional userbuffers support #932

Closed ksivaman closed 2 weeks ago

ksivaman commented 2 weeks ago

Description

901 removed a hard dependency on MPI for UB compilation and also made it a non-optional build with pytorch extensions. This removes leftover implementations for optional UB support.

Type of change

[ ] Documentation change (change only to the documentation, either a fix or a new content)
[x] 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
[ ] Code refractor

Changes

Remove placeholder extension.
Remove assertion for TE compiled with UB.

Checklist:

[x] I have read and followed the contributing guidelines
[x] The functionality is complete
[x] I have commented my code, particularly in hard-to-understand areas
[x] I have made corresponding changes to the documentation
[x] My changes generate no new warnings
[x] 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