code: def make_greater_tests(options):
      """Make a set of tests to do greater."""
  
      test_parameters = [
          {
              "input_dtype": [tf.float32, tf.int32, tf.int64],
              "input_shape_pair": [
                  ([1, 1, 1, 3], [1, 1, 1, 3]),
                  ([2, 3, 4, 5], [2, 3, 4, 5]),
                  ([2, 3, 3], [2, 3]),
                  ([5, 5], [1]),
                  ([10], [2, 4, 10]),
              ],
              "fully_quantize": [False],
          },
          {
              "input_dtype": [tf.float32],
              "input_shape_pair": [
                  ([1, 1, 1, 3], [1, 1, 1, 3]),
                  ([2, 3, 3], [2, 3]),
              ],
              "fully_quantize": [True],
          },
      ]
  
      def build_graph(parameters):
          """Build the greater op testing graph."""
          input_value1 = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="input1",
              shape=parameters["input_shape_pair"][0],
          )
          input_value2 = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="input2",
              shape=parameters["input_shape_pair"][1],
          )
          out = tf.greater(input_value1, input_value2)
          return [input_value1, input_value2], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input_value1 = create_tensor_data(
              parameters["input_dtype"],
              parameters["input_shape_pair"][0],
          )
          input_value2 = create_tensor_data(
              parameters["input_dtype"],
              parameters["input_shape_pair"][1],
          )
          return [input_value1, input_value2], sess.run(
              outputs,
              feed_dict=dict(zip(inputs, [input_value1, input_value2])),
          )
  
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          expected_tf_failures=4,
      )
  
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_greater_tests(options) and returns: list,  list, list,  sess