class_docstr: Base class for model verification.
  All verifications should run with any :class:`torch.nn.Module` unless otherwise stated.
docstr: Feeds the inputs to the model via the ``__call__`` method.
  Arguments:
      inputs: The input that goes into the model. If it is a tuple, it gets
          interpreted as the sequence of positional arguments and is passed in by tuple unpacking.
          If it is a dict, the contents get passed in as named parameters by unpacking the dict.
          Otherwise, the input array gets passed in as a single argument.
  Returns:
      The output of the model.
code: def _model_forward(self, inputs: Any) -> Any:
      """
      Feeds the inputs to the model via the ``__call__`` method.
      Arguments:
          inputs: The input that goes into the model. If it is a tuple, it gets
              interpreted as the sequence of positional arguments and is passed in by tuple unpacking.
              If it is a dict, the contents get passed in as named parameters by unpacking the dict.
              Otherwise, the input array gets passed in as a single argument.
      Returns:
          The output of the model.
      """
      if isinstance(inputs, tuple):
          return self.model(*inputs)
      if isinstance(inputs, dict):
          return self.model(**inputs)
      return self.model(inputs)
  
file_path: allennlp/allennlp/confidence_checks/verification_base.py
imports: from abc import abstractmethod
  from copy import deepcopy
  import torch.nn
  from typing import Any
  from allennlp.nn.util import move_to_device
label_desc: Use image node_id 4 for calling the VerificationBase obj's underlying member method code with example usage: obj._model_forward(inputs) and returns: self, self, self