code: def forward(self, X):
      y = self.relu(self.in1(self.conv1(X)))
      y = self.relu(self.in2(self.conv2(y)))
      y = self.relu(self.in3(self.conv3(y)))
      y = self.res1(y)
      y = self.res2(y)
      y = self.res3(y)
      y = self.res4(y)
      y = self.res5(y)
      y = self.relu(self.in4(self.deconv1(y)))
      y = self.relu(self.in5(self.deconv2(y)))
      y = self.deconv3(y)
      return y
  
imports: import argparse
  import os
  import sys
  import re
  import json
  import traceback
  from PIL import Image
  import torch
  from torchvision import transforms
  from azureml.core.model import Model
label_desc: Use image node_id 2 for calling the TransformerNet obj's underlying member method code with example usage: obj.forward(X) and returns: y