code: def forward(self, x):
      x = self.pool1(self.relu1(self.conv1(x)))
  
      if not self.feature_extraction:
          x = self.conv2(x)
          x = x.view(-1, 10)
      else:
          x = x.view(-1, 12)
  
      return x
  
imports: import unittest
  from typing import Callable, List, Union
  import torch
  import torch.nn
  from captum.insights import AttributionVisualizer, Batch
  from captum.insights.attr_vis.app import FilterConfig
  from captum.insights.attr_vis.features import BaseFeature, FeatureOutput, ImageFeature
  from tests.helpers.basic import BaseTest
label_desc: Use image node_id 2 for calling the TinyCnn obj's underlying member method code with example usage: obj.forward(x) and returns: x