code: def Test():
      zero = tf.constant(0)
      one = tf.constant(1)
      x = tf.placeholder(tf.int32, shape=(), name="input")
      result = tf.cond(
          x > zero, lambda: tf.square(x), lambda: tf.add(x, one)
      )
  
      tensor_info_result = (
          tf.compat.v1.saved_model.utils.build_tensor_info(result)
      )
  
      signature_def = (
          tf.saved_model.signature_def_utils.build_signature_def(
              inputs=None,
              outputs={"result": tensor_info_result},
              method_name="some_function",
          )
      )
  
      return (
          {"key_1": signature_def, "key_2": signature_def},
          None,
          None,
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: Test() and returns: dict,  None,  None