code: def generator(self, z):
      l = FullyConnected("fc0", z, 1024, activation=BNReLU)
      l = FullyConnected("fc1", l, 128 * 7 * 7, activation=BNReLU)
      l = tf.reshape(l, [-1, 7, 7, 128])
      l = Conv2DTranspose("deconv1", l, 64, 4, 2, activation=BNReLU)
      l = Conv2DTranspose("deconv2", l, 1, 4, 2, activation=tf.identity)
      l = tf.sigmoid(l, name="gen")
      return l
  
imports: import argparse
  import numpy
  import os
  import cv2
  import tensorflow
  from tensorpack import *
  from tensorpack.dataflow import dataset
  from tensorpack.tfutils import gradproc, optimizer, summary
  from tensorpack.tfutils.scope_utils import auto_reuse_variable_scope, under_name_scope
  from tensorpack.utils import viz
  from GAN import GANModelDesc, GANTrainer
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.generator(z) and returns: l