code: def forward(self, x):
      x = F.relu(self.conv_1(x))
      x = F.max_pool2d(x, 2, 2)
      x = F.relu(self.conv_2(x))
      x = F.max_pool2d(x, 2, 2)
      x = x.view(-1, 4 * 4 * 10)
      x = F.relu(self.fc_1(x))
      x = self.fc_2(x)
      return x
  
file_path: adversarial-robustness-toolbox/examples/get_started_pytorch.py
imports: import torch.nn
  import torch.nn.functional
  import torch.optim
  import numpy
  from art.attacks.evasion import FastGradientMethod
  from art.estimators.classification import PyTorchClassifier
  from art.utils import load_mnist
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(x) and returns: x