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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Add test for building without support for any DL frameworks #974

Open timmoon10 opened 6 days ago

timmoon10 commented 6 days ago

Description

This PR adds a GitHub test that builds TE without support for any DL frameworks, namely by setting NVTE_FRAMEWORK=none in the environment. This use-case is for users who call the C API directly.

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
[ ] Code refractor
[x] Testing

Changes

Add test for building without support for any DL frameworks

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
[ ] My changes generate no new warnings
[x] I have added tests that prove my fix is effective or that my feature works
[ ] New and existing unit tests pass locally with my changes

ksivaman commented 5 days ago

@timmoon10 Why don't we instead add the test for building the core wheels in an environment where no framework is installed?