revert behavior of _prepare_from_posids#39622
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ArthurZucker merged 2 commits intohuggingface:mainfrom Jul 24, 2025
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Thanks, this won't work for inference! can we just have a if else!
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(Thanks a lot for checking sorry for breaking) |
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Thanks makes sense!
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* revert behavior of _prepare_from_posids * add back cu_seqlens_k and max_k for inference
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* revert behavior of _prepare_from_posids * add back cu_seqlens_k and max_k for inference
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* revert behavior of _prepare_from_posids * add back cu_seqlens_k and max_k for inference
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* revert behavior of _prepare_from_posids * add back cu_seqlens_k and max_k for inference
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* revert behavior of _prepare_from_posids * add back cu_seqlens_k and max_k for inference
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* revert behavior of _prepare_from_posids * add back cu_seqlens_k and max_k for inference
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* revert behavior of _prepare_from_posids * add back cu_seqlens_k and max_k for inference
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What does this PR do?
#39474 causes the grad norm to become NaN during training. We don't need to revert the whole thing, but reverting just this function seems to fix the regression.
@ArthurZucker @SunMarc
pre-#39474 loss

post-#39474 loss

with this fix

Fixes # (issue)
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