code: def Test():
      x = tf.constant(1.0, shape=(3, 3))
      y = tf.constant(1.0, shape=(3, 3))
  
      s = tf.transpose(x)
      t = tf.transpose(y)
  
      tensor_info_s = tf.compat.v1.saved_model.utils.build_tensor_info(
          s
      )
      tensor_info_t = tf.compat.v1.saved_model.utils.build_tensor_info(
          t
      )
  
      signature_def = (
          tf.saved_model.signature_def_utils.build_signature_def(
              inputs=None,
              outputs={"s": tensor_info_s},
              method_name="some_function",
          )
      )
      signature_def2 = (
          tf.saved_model.signature_def_utils.build_signature_def(
              inputs=None,
              outputs={"t": tensor_info_t},
              method_name="some_function",
          )
      )
  
      # Create two signatures that share the same variable.
      return {"key": signature_def, "key2": signature_def2}, None, None
  
label_desc: Use image node_id 1 for calling a global function with example usage: Test() and returns: dict,  None,  None