[`gradient_checkpointing`] default to use it for torch 2.3
Author: ArthurZucker
Pull request: yes

# What does this PR do?

Fixes #28536 in preparation for next torch release

Comments:
Why do we use reentrant gc by default? It said the non-reentrant gc can be more advantageous than the reentrant version: https://pytorch.org/docs/2.0/checkpoint.html#torch.utils.checkpoint.checkpoint

@hiyouga the use_reentrant=True is used by default in PT anyway so if you set it to `None`, `use_reentrant` will be set to `True`

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I upgrade transformers to latest, still got this warning, and this warning is logged every single step

```
s/env-3.9.2/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/data/miniconda3/envs/env-3.9.2/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
/data/miniconda3/envs/env-3.9.2/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/data/miniconda3/envs/env-3.9.2/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
/data/miniconda3/envs/env-3.9.2/lib/python3.9/site-packages/torch/utils/checkpoint.py:460: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/data/miniconda3/envs/env-3.9.2/lib/python3.9/site-packages/torch/utils/checkpoint.py:90: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
  warnings.warn(
```

how to disable it?

Can you open a new issue with a proper reproducer ?