code: def inputs(self):
      return [
          tf.TensorSpec(
              (1, 3, self.height, self.width), tf.float32, "left"
          ),
          tf.TensorSpec(
              (1, 3, self.height, self.width), tf.float32, "right"
          ),
          tf.TensorSpec(
              (1, 2, self.height, self.width), tf.float32, "gt_flow"
          ),
      ]
  
imports: import tensorflow
  from tensorpack import ModelDesc, argscope, enable_argscope_for_module
label_desc: Use image node_id 2 for calling the FlowNetBase obj's underlying member method code with example usage: obj.inputs() and returns: list