docstr: Define all the inputs (with type, shape, name) that the graph will need.
code: def inputs(self):
      """
      Define all the inputs (with type, shape, name) that the graph will need.
      """
      return [
          tf.TensorSpec(
              (None, IMAGE_SIZE, IMAGE_SIZE), tf.float32, "input"
          ),
          tf.TensorSpec((None,), tf.int32, "label"),
      ]
  
file_path: tensorpack/examples/basics/mnist-convnet.py
imports: from tensorpack import tfv1
  from tensorpack import *
  from tensorpack.dataflow import dataset
  from tensorpack.tfutils import summary
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