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This requires to implement the __deepcopy__ method in Int8Params.
Moreover, there was an issue in the Linear8BitLT constructor that would
assign instance attributes to the class, which is now fixed.

Please review carefully that this does not impact existing code.

Tests that I ran:

- pytest tests/test_linear8bitlt.py
- in PEFT: python -m pytest -m "single_gpu_tests and bitsandbytes" tests/test_gpu_examples.py
- in PEFT: python -m pytest -m "single_gpu_tests and bitsandbytes" tests/test_common_gpu.py
- in transformers: RUN_SLOW=1 python -m pytest tests/quantization/bnb -x

As discussed internally, use state = self.__dict__.copy(), which is also
what the Python docs recommend.

* fix deepcopy and copy

* add tests

* remove line

* ruff fix

* ruff

* Update tests/test_linear4bit.py
Co-authored-by: Aarni Koskela <akx@iki.fi>

* add missing state

* ruff format

* ignore formatting commit for git blame

* Params4bit should be initialized as frozen by default

* add test for serialization round-tripping

* add comparison capability for QuantSate

* add back accidentally remove line

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Co-authored-by: Aarni Koskela <akx@iki.fi>
Co-authored-by: Titus von Koeller <9048635+Titus-von-Koeller@users.noreply.github.com>

Co-authored-by: Titus von Koeller <titus@vonkoeller.com>

fix erroneous correction

* test_nvidia_transform: fix variable reference

`out_order` is the global parametrization list, not the test fixture argument

* Make `parametrize` use more idiomatic

* Use a more deterministic helper for `dim*` determination

* Convert NO_CUBLASLT errors into skips too

* Mark slow and benchmark tests as such (allows `-k "not benchmark"`)

`out_order` is the global parametrization list, not the test fixture argument

* Adjust Ruff configuration

* do not autofix always
* be less strict around tests and benchmarks
* adjust ignores for now

* Ruff: autofix I and F401

* Apply ruff autofixes

* Fix RUF013 complaint

* Fix mutable default in replace_linear

* Don't use bare except

* Wrap bitsandbytes.__main__ entrypoint in function; fix "sensible" typo

* Fix ruff B008 (function call in arguments)

* Add ruff noqas as suitable

* Fix RUF005 (splat instead of concatenating)

* Fix B018 (useless expression)

* Add pre-commit configuration + GitHub Actions lint workflow

* Fix unused `e` in bitsandbytes/__main__.py

* fix merge conflict resolution error

* run pre-commit hook

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Co-authored-by: Titus <9048635+Titus-von-Koeller@users.noreply.github.com>

* implicitly skip any test that implicitly uses CUDA on a non-CUDA box
* add a `requires_cuda` fixture

This PR adds initial FSDP support for training QLoRA models. It enables basic FSDP and CPU Offload support, with low memory training via FSDP.sync_module_states option unsupported.

This PR builds off of #840 commit 8278fca and BNB FSDP by @TimDettmers and @Titus-von-Koeller.

An example of using this PR to finetune QLoRA models with FSDP can be found in the demo repo: AnswerDotAi/fsdp_qlora.

* Minimal changes for fp32 4bit storage from BNB commit 8278fca

* Params4bit with selectable storage dtype

* possible fix for double quantizing linear weight & quant storage dtype

* minor fixes in Params4bit for peft tests

* remove redundant

* add float16

* update test

* Remove float16 quant cast as there are fp32, bf16, & fp16 quant kernels

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Co-authored-by: Kerem Turgutlu <keremturgutlu@gmail.com>

paramters -> parameters