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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[JAX] Added unit tests for distributed LayernormMLP #878

Closed phu0ngng closed 3 weeks ago

phu0ngng commented 1 month ago

This PR added unit tests for distributed fused_layernorm_fp8_mlp and LayerNormMLP. The outputs of the run on multiple GPUs are compared again to the one with a single GPU for correctness check.

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)

Checklist:

[x] I have read and followed the contributing guidelines
[] The functionality is complete
[x] I have commented my code, particularly in hard-to-understand areas
[ ] 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
[x] New and existing unit tests pass locally with my changes

phu0ngng commented 1 month ago

\te-ci jax