support bf16
Author: etemadiamd
Pull request: yes

# What does this PR do?

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Added bf16 support.

## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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      Pull Request section?
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- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
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Models:

- text models: @ArthurZucker and @younesbelkada
- vision models: @amyeroberts
- speech models: @sanchit-gandhi
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @gante
- pipelines: @Narsil
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @muellerz and @pacman100

Integrations:

- deepspeed: HF Trainer/Accelerate: @pacman100
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc and @younesbelkada

Documentation: @stevhliu and @MKhalusova

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

- Flax: @sanchit-gandhi
- PyTorch: See Models above and tag the person corresponding to the modality of the example.
- TensorFlow: @Rocketknight1

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Comments:
@mfuntowicz @amyeroberts Started a new PR for bf16 support here!
CC: @AdrianAbeyta @amathews-amd

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.

WDYT @ydshieh ?

The `torch.cuda.is_bf16_supported` command was introduced in PyTorch 1.10. As I believe we dropped support for torch 1.9, wdyt of this change?

+1 for this change ❤️ . 

Hi @etemadiamd I think your PR is on top of a commit on `main` that is old. Could you pull the latest changes to your local main and rebase your PR branch on top of `main`? This should fix several failing tests.

need a `make fixup` (or simply `make style` and `make quality`) to pass CI

Hi @ydshieh, Thanks! Applied "make style and make quality". The "ci/circleci: check_code_quality" and "setup_and_quality" tests passed the CI checks. Now "run_tests" and "ci/circleci: examples_torch" tests failed with "Failed: Timeout >120.0s". Any idea to fix the failures? 

Thanks for the fix! For the timeout one, we can ignore it.

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_25879). All of your documentation changes will be reflected on that endpoint.

Thanks again @etemadiamd !