code: def forward(self, x):
      out = self.conv1(x)
      out = F.relu(out)
      out = F.max_pool2d(out, 2)
      out = out.view(out.size(0), -1)
      out = self.fc1(out)
      out = F.relu(out)
      out = self.fc2(out)
      out = F.softmax(out, dim=1)
      return out
  
imports: import unittest
  import crypten
  import crypten.communicator
  import numpy
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  from crypten.common import serial
  from crypten.config import cfg
  from test.multiprocess_test_case import get_random_test_tensor, MultiProcessTestCase
label_desc: Use image node_id 2 for calling the CNN obj's underlying member method code with example usage: obj.forward(x) and returns: out