class_docstr: Just a simple model, which applies the Laplacian-operation to images to showcase
  the usage of variables, and alternating the inference-graph later.
class_docstr_tok: ["Just","a","simple","model",",","which","applies","the","Laplacian-operation","to","images","to","showcase","the","usage","of","variables",",","and","alternating","the","inference-graph","later","."]
code: def inputs(self):
      return [
          tf.TensorSpec(
              (None, SHAPE, SHAPE, CHANNELS), tf.uint8, "input_img"
          ),
          tf.TensorSpec(
              (None, SHAPE, SHAPE, CHANNELS), tf.uint8, "target_img"
          ),
      ]
  
imports: import argparse
  import cv2
  from tensorpack import tfv1
  from tensorpack import *
  from tensorpack.tfutils.export import ModelExporter
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