Update deprecated method in generic.py for compatibility with newer versions of PyTorch

[Haleshot]

System Info

Versions

• transformers version: 4.34.1
• Platform: Windows-10-10.0.22631-SP0
• Python version: 3.11.4
• Huggingface_hub version: 0.23.0
• Safetensors version: 0.4.3
• Accelerate version: 0.30.0
• Accelerate config: not found
• PyTorch version (GPU?): 2.3.0+cpu (False)
• Tensorflow version (GPU?): 2.16.1 (False)
• Flax version (CPU?/GPU?/TPU?): 0.8.3 (cpu)
• Jax version: 0.4.27
• JaxLib version: 0.4.27
• Using GPU in script?: If detected, then yes.
• Using distributed or parallel set-up in script?: No

Who can help?

No response

Information

• The official example scripts
• My own modified scripts

Tasks

• An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• My own task or dataset (give details below)

Reproduction

The generic.py file inside transformers here

Code Sample

class MyModel(AutoModel):
    def __init_subclass__(cls) -> None:
        """Register subclasses as pytree nodes.

        This is necessary to synchronize gradients when using `torch.nn.parallel.DistributedDataParallel` with
        `static_graph=True` with modules that output `ModelOutput` subclasses.
        """
        if torch.cuda.is_available():
            import torch.utils._pytree

            torch.utils._pytree._register_pytree_node(
                cls,
                torch.utils._pytree._dict_flatten,
                lambda values, context: cls(**torch.utils._pytree._dict_unflatten(values, context)),
            )

Expected behavior

When initializing MyModel, there should be no warnings or errors stemming from the usage of deprecated methods such as torch.utils._pytree._register_pytree_node. The initialization process should proceed smoothly and without interruption.

[Haleshot]

The warning seems to arise due to the library not being updated to the latest version on my end. Closing the issue now.