code: def make_cumsum_tests(options):
      """Make a set of tests to do cumsum."""
  
      test_parameters = [
          {
              "shape": [(3, 6), (8, 9, 7), (2, 4, 3, 5)],
              "dtype": [tf.int32, tf.int64, tf.float32],
              "axis": [0, 1],
              "exclusive": [True, False],
              "reverse": [True, False],
          }
      ]
  
      def build_graph(parameters):
          """Build the cumsum op testing graph."""
          input1 = tf.compat.v1.placeholder(
              dtype=parameters["dtype"], shape=parameters["shape"]
          )
          out = tf.math.cumsum(
              input1,
              parameters["axis"],
              exclusive=parameters["exclusive"],
              reverse=parameters["reverse"],
          )
          return [input1], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input1 = create_tensor_data(
              parameters["dtype"], parameters["shape"]
          )
          return [input1], sess.run(
              outputs, feed_dict=dict(zip(inputs, [input1]))
          )
  
      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_cumsum_tests(options) and returns: list,  list, list,  sess