code: def forward(self, x):
      out = self.maxpool1(self.relu1(self.conv1(x)))
      out = self.maxpool2(self.relu2(self.conv2(out)))
      out = out.view(out.size(0), -1)
      out = self.relu3(self.linear1(out))
      out = self.linear2(out)
      return out
  
imports: import math
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the LeNet5Madry obj's underlying member method code with example usage: obj.forward(x) and returns: out