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Add config option to specify float precision type during training #170

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@OrianeN OrianeN commented Nov 2, 2023

Not all CUDA devices support mixed-type precision - myself I got this error when launching train.py:

RuntimeError: Current CUDA Device does not support bfloat16. Please switch dtype to float16.

Therefore I propose this PR to let the user choose which type of precision they want to use during training.

@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Nov 2, 2023
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