Fix the seamless_m4t cannot work on Gaudi
Author: yuanwu2017
Pull request: yes

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Comments:
cc @IlyasMoutawwakil I think? Feel free to ping me if this should go to someone else!

@yuanwu2017 can be more specific about what you're fixing here ?

@IlyasMoutawwakil  The torch.gather cannot work correctly on Gaudi with seamless_m4t. The patch is only for tracking this issue. I will closed it.

git clone https://github.com/yuanwu2017/llm-dbg.git
`PT_HPU_LAZY_MODE=1 run_text-to-speech.py`
**Before**:
<img width="680" alt="image" src="https://github.com/user-attachments/assets/926efaf1-fa90-4ecd-8691-d3818f7daaa5" />
**After**:
<img width="680" alt="image" src="https://github.com/user-attachments/assets/7efe20a1-8c65-4467-bd8b-4f35b710a3ec" />













@IlyasMoutawwakil Can we merge this patch first? The root cause is that Gaudi torch.gather cannot support input of int64 or long . It seems slow to fix this bug from the Gaudi pytorch. After they fix, I will remove the workaround.


@yao-matrix 

@yuanwu2017 you can patch it in the `is_torch_hpu_available` method, the same way we patched `masked_fill_` : https://github.com/huggingface/transformers/blob/37367c7d9fd23401c26e79a2b26253ab2d1b7236/src/transformers/utils/import_utils.py#L840
the transformers modeling code can't afford to be bloated with accelerator specific patches.

Done.

Test passed.
<img width="953" alt="image" src="https://github.com/user-attachments/assets/cd48997d-7c1e-45af-9c8f-f733d864a73c" />
<img width="1025" alt="image" src="https://github.com/user-attachments/assets/71cf31b6-c175-4b44-b931-4f1a03194936" />



Done.

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sorry I missed this.

You might consider open an issue to track the patched stuffs and remove them once things are fixed (as mentioned in the added comments)

Done.