code: def inputs(self):
      return [
          tf.TensorSpec(
              (None, IMAGE_SIZE, IMAGE_SIZE), tf.float32, "input"
          ),
          tf.TensorSpec((None,), tf.int32, "label"),
      ]
  
file_path: tensorpack/examples/basics/mnist-visualizations.py
imports: from tensorpack import tfv1
  from tensorpack import *
  from tensorpack.dataflow import dataset
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