[BUG]: Tensordict.to_dict() execution failed

[yuecheng-ma]

Describe the bug

Tensordict.to_dict() execution failed

To Reproduce

import torch
from tensordict import TensorDict

def main():
    d = {
        "key1": {
            "subkey1": torch.randn(5, 4, 3, 2, 1),
            "subkey2": torch.randn(5, 4, 3, 1, 1),
            "subkey3": torch.randn(5, 4, 6),
        },
        "key2": ["a", "b", "c", "d", "e"],
    }
    td = TensorDict.from_dict(d, auto_batch_size=True)
    rebuild_d = td.to_dict()

if __name__ == "__main__":
    main()

Traceback (most recent call last):
  File "/workspace/xxx/test/test.py", line 24, in <module>
    main()
  File "/workspace/xxx/test/test.py", line 17, in main
    rebuild_d = td.to_dict()
                ^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/dist-packages/tensordict/base.py", line 11982, in to_dict
    value = value.to_dict(
            ^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/dist-packages/tensordict/tensorclass.py", line 3764, in to_dict
    return self.tolist(convert_tensors=convert_tensors)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: NonTensorStack.tolist() got an unexpected keyword argument 'convert_tensors'

Expected behavior

Execution successful, and rebuild_d equals d

Screenshots

Unnecessary

System info

tensordict version: 0.8.3
numpy version: 1.26.4
python version: 3.12.3 (main, Feb  4 2025, 14:48:35) [GCC 13.3.0]
platform: linux
torch version: 2.8.0a0+5228986c39.nv25.06

Additional context

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Reason and Possible fixes

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Checklist

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[UserChen666]

You can upgrade your tensordict version to 0.10.0, I think this issue is solved on this version. @yuecheng-ma