code: def forward(self, x):
      x = self.conv(x)
      x = self.relu(x)
      x = x.view(x.shape[0], -1)
      x = self.dropout(x)
      x = self.linear(x)
      return x
  
imports: import unittest
  from unittest.mock import Mock
  import numpy
  import pytest
  import torch
  from torch import nn
  from torch.utils.data import Dataset
  from baal.calibration import DirichletCalibrator
  from baal.modelwrapper import ModelWrapper
label_desc: Use image node_id 2 for calling the DummyModel obj's underlying member method code with example usage: obj.forward(x) and returns: x