code: def forward(self, x):
      x = self.pool(F.relu(self.conv(x)))
      x = x.view(-1, 288)
      logit_output = self.fc(x)
      return logit_output
  
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 2 for calling the Model obj's underlying member method code with example usage: obj.forward(x) and returns: logit_output