code: def inputs(self):
      return [
          tf.TensorSpec((None, 28, 28), tf.float32, "input"),
          tf.TensorSpec((None,), tf.int32, "label"),
      ]
  
file_path: tensorpack/examples/GAN/ConditionalGAN-mnist.py
imports: import argparse
  import numpy
  import os
  import cv2
  import tensorflow
  from tensorpack import *
  from tensorpack.dataflow import dataset
  from tensorpack.tfutils.scope_utils import auto_reuse_variable_scope
  from tensorpack.utils.viz import interactive_imshow, stack_patches
  from GAN import GANModelDesc, GANTrainer, RandomZData
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