Support FP8 mixed precision training for Ada Lovelace GPUs #1348
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sgugger
reviewed
Apr 24, 2023
src/accelerate/accelerator.py
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| "insufficient for FP8 mixed precision training (requires a GPU Hopper or higher, compute " | ||
| "capability of 9 or higher). Will use FP16 instead." |
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The rest of the error message needs to be updated as well.
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Updated! Thank you :D
sgugger
approved these changes
Apr 24, 2023
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As mentioned in NVIDIA/TransformerEngine#15 (comment)
GPUs with computation capacity 8.9, (Ada Lovelace, includes RTX4xxx and RTX6000ada) can now benifit from FP8 acceleration with CUDA Toolkit 12.1 update 1 and Transformer Engine 0.7.
This pull request reflects the change.