code: def inputs(self):
      return [
          tf.TensorSpec(
              [None, INPUT_SHAPE, INPUT_SHAPE, 3], tf.float32, "input"
          ),
          tf.TensorSpec([None], tf.int32, "label"),
      ]
  
file_path: tensorpack/examples/ImageNetModels/inception-bn.py
imports: import argparse
  import os
  from tensorpack import tfv1
  from tensorpack import *
  from tensorpack.dataflow import dataset
  from tensorpack.tfutils.summary import add_moving_summary
  from tensorpack.utils.gpu import get_num_gpu
  from imagenet_utils import fbresnet_augmentor, get_imagenet_dataflow
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