code: def forward(self, x):
      out = F.relu(self.conv1(x))
      out = F.max_pool2d(out, 2)
      out = F.relu(self.conv2(out))
      out = F.max_pool2d(out, 2)
      out = out.view(out.size(0), -1)
      out = F.relu(self.fc1(out))
      out = F.relu(self.fc2(out))
      out = self.fc3(out)
      return out
  
imports: import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the LeNet obj's underlying member method code with example usage: obj.forward(x) and returns: out