Enhance IPEX integration in Trainer
Author: jianan-gu
Pull request: yes

# What does this PR do?

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Fixes [# (issue)](https://github.com/huggingface/transformers/issues/17962)

- Adding IPEX vs PyTorch version checking to  is_ipex_available;
- Trainer UT will skip or users will  be informed, when IPEX is not aligned with PyTorch version;

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Comments:
_The documentation is not available anymore as the PR was closed or merged._

so you probably want to re-enable the tests then in this PR, right?

as flagged here they were disabled as they were failing:

https://github.com/huggingface/transformers/pull/17138#issuecomment-1171348748

so in this case you'd probably want to add a skip decorator that requires not just availability of ipex but also that it matches torch version.

> so you probably want to re-enable the tests then in this PR, right?
> 
> as flagged here they were disabled as they were failing:
> 
> [#17138 (comment)](https://github.com/huggingface/transformers/pull/17138#issuecomment-1171348748)
> 
> so in this case you'd probably want to add a skip decorator that requires not just availability of ipex but also that it matches torch version.

Yes! And here we enhance the `is_ipex_available `to check both the installation and version matching; And it is used in the `require_intel_extension_for_pytorch`