code: def forward(self, inputs):
      theta_input = self.dropout1(self.dense1(self.flatten1(inputs)))
      V = self.stn((theta_input, inputs))
      _logits = self.dense3(
          self.dense2(self.flatten2(self.conv2(self.conv1(V))))
      )
      return _logits, V
  
file_path: TensorLayer/examples/spatial_transformer_network/tutorial_spatial_transformer_network_dynamic.py
imports: import time
  import numpy
  import tensorflow
  import tensorlayer
  from tensorlayer.layers import *
  from tensorlayer.models import Model
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(inputs) and returns: _logits,  V