class_docstr: Abstract Class to describe the interface of a trainable model to be used
  within the algorithms of captum.
  
  Please note that this is an experimental feature.
docstr: Predicts with the interpretable model.
  
  Args:
      x (TensorOrTupleOfTensorsGeneric)
          A batched input of tensor(s) to the model to predict
  Returns:
      The prediction of the input as a TensorOrTupleOfTensorsGeneric.
code: def __call__(
      self, x: TensorOrTupleOfTensorsGeneric
  ) -> TensorOrTupleOfTensorsGeneric:
      r"""
      Predicts with the interpretable model.
  
      Args:
          x (TensorOrTupleOfTensorsGeneric)
              A batched input of tensor(s) to the model to predict
      Returns:
          The prediction of the input as a TensorOrTupleOfTensorsGeneric.
      """
      pass
  
file_path: captum/captum/_utils/models/model.py
imports: from abc import ABC, abstractmethod
  from typing import Dict, Optional, Union
  from captum._utils.typing import TensorOrTupleOfTensorsGeneric
  from torch import Tensor
  from torch.utils.data import DataLoader
label_desc: Use image node_id 3 for calling the Model obj's underlying member method code with example usage: obj.__call__(x) without return types