Use torch.device instead of current device index for BnB quantizer

[a-r-r-o-w]

As discussed in #10009 (comment)

cc @sayakpaul

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[sayakpaul]

Could you run some slow tests and maybe the

diffusers/tests/quantization/bnb/test_4bit.py

Line 489 in c96bfa5

classSlowBnb4BitFluxTests(Base4bitTests):

suite?

If not, it will need to wait till tomorrow when I can find time to run it. LMK.

[sayakpaul]

This looks good to me!

@yiyixuxu WDYT?

Cc: @SunMarc as well.

[yiyixuxu]

let's throw an error in load_model_dict_into_meta when device is passed as index??

[a-r-r-o-w]

Throws a value error now. @yiyixuxu

@sayakpaul, the integration tests pass:

(nightly-venv) (nightly-venv) aryan@hf-dgx-01:~/work/diffusers$ RUN_SLOW=1 CUDA_VISIBLE_DEVICES="3" pytest -s tests/quantization/bnb/test_4bit.py::SlowBnb4BitFluxTests
========================================================================================================================================= test session starts ==========================================================================================================================================
platform linux -- Python 3.10.14, pytest-8.3.2, pluggy-1.5.0
rootdir: /home/aryan/work/diffusers
configfile: pyproject.toml
plugins: timeout-2.3.1, requests-mock-1.10.0, xdist-3.6.1, anyio-4.6.2.post1
collected 1 item tests/quantization/bnb/test_4bit.py Unused kwargs: ['_load_in_4bit', '_load_in_8bit', 'quant_method']. These kwargs are not used in<class 'transformers.utils.quantization_config.BitsAndBytesConfig'>.
`low_cpu_mem_usage` was None, now default to True since model is quantized.
Loading pipeline components...: 14%|████████████████████████████████▋ | 1/7 [00:00<00:00, 9.00it/s]You set`add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
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========================================================================================================================================== 1 passed in 52.27s ===================================================================

[yiyixuxu]

thanks!

[sayakpaul]

Merge away! Thank you very much.

Maybe we could also update the type hint of device in load_model_dict_into_meta()?

[a-r-r-o-w]

Maybe we could also update the type hint of device in load_model_dict_into_meta()?

I think it's already correctly set to str | torch.device