code: def make_tensor_list_get_item_tests(options):
      """Make a set of tests to do TensorListGetItem."""
  
      test_parameters = [
          {
              "element_dtype": [tf.float32, tf.int32],
              "num_elements": [4, 5, 6],
              "element_shape": [[], [5], [3, 3]],
              "index": [0, 1, 2, 3],
          },
      ]
  
      def build_graph(parameters):
          """Build the TensorListGetItem op testing graph."""
          data = tf.compat.v1.placeholder(
              dtype=parameters["element_dtype"],
              shape=[parameters["num_elements"]]
              + parameters["element_shape"],
          )
          tensor_list = list_ops.tensor_list_from_tensor(
              data, parameters["element_shape"]
          )
          out = list_ops.tensor_list_get_item(
              tensor_list,
              parameters["index"],
              parameters["element_dtype"],
          )
          return [data], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          data = create_tensor_data(
              parameters["element_dtype"],
              [parameters["num_elements"]]
              + parameters["element_shape"],
          )
          return [data], sess.run(
              outputs, feed_dict=dict(zip(inputs, [data]))
          )
  
      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
  from tensorflow.python.ops import list_ops
label_desc: Use image node_id 1 for calling a global function with example usage: make_tensor_list_get_item_tests(options) and returns: list,  list, list,  sess