code: def Test():
      x = tf.constant([[1.0], [1.0], [1.0]])
      y = tf.compat.v1.get_variable(
          name="y",
          shape=(1, 3),
          initializer=tf.random_normal_initializer(),
          trainable=True,
      )
      r = tf.matmul(x, y)
  
      tensor_info_x = tf.compat.v1.saved_model.utils.build_tensor_info(
          x
      )
      tensor_info_r = tf.compat.v1.saved_model.utils.build_tensor_info(
          r
      )
  
      return (
          {
              "key": (
                  tf.compat.v1.saved_model.signature_def_utils.build_signature_def(
                      inputs={"x": tensor_info_x},
                      outputs={"r": tensor_info_r},
                      method_name="some_function",
                  )
              )
          },
          None,
          None,
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: Test() and returns: dict,  None,  None