start from 1.12, torch_ccl is renamed as oneccl_bindings_for_pytorch …
…and should import it before use

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

# What does this PR do?

when run the transformer with torch 1.12 and we should pip install one ccl (version 1.12) as well to enable DDP finetune in cpu.
python -m pip install oneccl_bind_pt==1.12.0 -f https://developer.intel.com/ipex-whl-stable
from 1.12.0 the module name will be changed to oneccl_bindings_for_pytorch. and should be imported before use. or else
error will happen.

Fixes # (issue)
as described above.

## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
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      to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes? Here are the
      [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?


Library:

- trainer: @sgugger

@yao-matrix @liangan1 please review<|||||>_The documentation is not available anymore as the PR was closed or merged._<|||||>@sgugger document has been uploaded<|||||>Hi, @sgugger ,this fix is aligned with what we do in the accelerate PR, without the correct module import, the DDP could not work with CCL backend<|||||>@sgugger  thanks for the careful review. doc is updated based one your comment