code: def forward(self, x):
      x = self.conv1(x)
      x = self.pool1(x)
      x = self.conv2(x)
      x = self.pool2(x)
      x = self.flatten(x)
      x = self.dense1(x)
      x = self.dense2(x)
      return x
  
imports: import os
  import unittest
  import numpy
  import tensorflow
  import tensorlayer
  from tensorlayer.layers import *
  from tensorlayer.models import *
  from tests.utils import CustomTestCase
label_desc: Use image node_id 2 for calling the basic_dynamic_model obj's underlying member method code with example usage: obj.forward(x) and returns: x