code: def inputs(self):
      return [
          tf.TensorSpec(
              (None, self.height * 1, self.width * 1, CHANNELS),
              tf.float32,
              "Ilr",
          ),
          tf.TensorSpec(
              (None, self.height * 4, self.width * 4, CHANNELS),
              tf.float32,
              "Ihr",
          ),
      ]
  
imports: import argparse
  import numpy
  import os
  import cv2
  import six
  import tensorflow
  from tensorpack import *
  from tensorpack.tfutils.scope_utils import auto_reuse_variable_scope
  from tensorpack.tfutils.summary import add_moving_summary
  from tensorpack.utils import logger
  from tensorpack.utils.gpu import get_num_gpu
  from data_sampler import CenterSquareResize, ImageDataFromZIPFile, ImageDecode, RejectTooSmallImages
  from GAN import GANModelDesc, SeparateGANTrainer
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.inputs() and returns: list