code: def __init__(self):
      super(Model, self).__init__()
      self.conv = nn.Conv2d(1, 2, 5)
      self.pool = nn.MaxPool2d(2, 2)
      self.fc = nn.Linear(288, 10)
  
file_path: adversarial-robustness-toolbox/tests/estimators/classification/test_deeplearning_specific.py
imports: import os
  import logging
  import numpy
  import pytest
  import pickle
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from art.estimators.classification.pytorch import PyTorchClassifier
  from tests.utils import ARTTestException
label_desc: Use image node_id 1 to create a new Model object from inherited base classes: nn with example: obj = Model()