code: def inputs(self):
      SHAPE = 256
      return [
          tf.TensorSpec(
              (None, SHAPE, SHAPE, IN_CH), tf.float32, "input"
          ),
          tf.TensorSpec(
              (None, SHAPE, SHAPE, OUT_CH), tf.float32, "output"
          ),
      ]
  
imports: import argparse
  import functools
  import glob
  import numpy
  import os
  import cv2
  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.gpu import get_num_gpu
  from tensorpack.utils.viz import stack_patches
  from GAN import GANModelDesc, GANTrainer
label_desc: Use image node_id 1 for calling the Model obj's underlying member method code with example usage: obj.inputs() and returns: list