code: def make_unpack_tests(options):
      """Make a set of tests to do unpack."""
  
      test_parameters = [
          {
              "base_shape": [[3, 4, 3], [3, 4], [5, 6, 7, 8]],
              "axis": [0, 1, 2, 3],
              "dtype": [tf.int32, tf.bool, tf.float32],
          }
      ]
  
      def get_valid_axis(parameters):
          """Return a tweaked version of 'axis'."""
          axis = parameters["axis"]
          shape = parameters["base_shape"][:]
          while axis > len(shape) - 1:
              axis -= 1
          return axis
  
      def build_graph(parameters):
          input_tensor = tf.compat.v1.placeholder(
              dtype=parameters["dtype"],
              name=("input"),
              shape=parameters["base_shape"],
          )
          outs = tf.unstack(
              input_tensor, axis=get_valid_axis(parameters)
          )
          return [input_tensor], [outs[0]]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input_value = create_tensor_data(
              parameters["dtype"], shape=parameters["base_shape"]
          )
          return [input_value], sess.run(
              outputs, feed_dict=dict(zip(inputs, [input_value]))
          )
  
      make_zip_of_tests(
          options, test_parameters, build_graph, build_inputs
      )
  
imports: import tensorflow
  from tensorflow.lite.testing.zip_test_utils import create_tensor_data
  from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
  from tensorflow.lite.testing.zip_test_utils import register_make_test_function
label_desc: Use image node_id 1 for calling a global function with example usage: make_unpack_tests(options) and returns: axis, list,  list, list,  sess