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Deepcopy and pickling fails for modeling_outputs #8978

@anirudh2290

Description

@anirudh2290

Environment info

  • transformers version: 4.0.0
  • Python version: 3.8
  • PyTorch version (GPU?): 1.6.0
  • Using GPU in script?: N/A

Who can help

To reproduce

Steps to reproduce the behavior:

>>> from transformers.modeling_outputs import BaseModelOutput
>>> import torch
>>> import copy
>>> x = BaseModelOutput(last_hidden_state=torch.ones(1,))
>>> z = copy.deepcopy(x)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/lib/python3.8/copy.py", line 172, in deepcopy
    y = _reconstruct(x, memo, *rv)
  File "/opt/lib/python3.8/copy.py", line 263, in _reconstruct
    y = func(*args)
TypeError: __init__() missing 1 required positional argument: 'last_hidden_state'
>>> import pickle
>>> obj = pickle.dumps(x)
>>> obj_loaded = pickle.loads(obj)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: __init__() missing 1 required positional argument: 'last_hidden_state'

Expected behavior

No failures when using deepcopy or pickle.dumps/pickle.loads

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