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FIX Correctly call element_size #1635
FIX Correctly call element_size #1635
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Should fix the error introduced by huggingface#1630. AFAICT, element_size should be called on the parameter, not the dtype. Unfortunately, I had issues getting older PyTorch versions to work with bnb, so I haven't tested the initial issue. To be safe, I also re-added the previous code path using itemsize, although it might be unnecessary (we would have to check the PyTorch code to verify when the different attributes/methods were added).
The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
Ping @winglian if you could please check if this PR still resolves your initial issue. |
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thanks for the fix!
@BenjaminBossan yup, this works for me. thanks! |
Should fix the error introduced by huggingface#1630. AFAICT, element_size should be called on the parameter, not the dtype. Unfortunately, I had issues getting older PyTorch versions to work with bnb, so I haven't tested the initial issue. To be safe, I also re-added the previous code path using itemsize, although it might be unnecessary (we would have to check the PyTorch code to verify when the different attributes/methods were added).
Should fix the error introduced by huggingface#1630. AFAICT, element_size should be called on the parameter, not the dtype. Unfortunately, I had issues getting older PyTorch versions to work with bnb, so I haven't tested the initial issue. To be safe, I also re-added the previous code path using itemsize, although it might be unnecessary (we would have to check the PyTorch code to verify when the different attributes/methods were added).
Should fix the error introduced by #1630.
AFAICT,
element_size
should be called on the parameter, not thedtype
. Unfortunately, I had issues getting older PyTorch versions to work with bnb, so I haven't tested the initial issue.To be safe, I also re-added the previous code path using
itemsize
, although it might be unnecessary (we would have to check the PyTorch code to verify when the different attributes/methods were added).