code: def make_maximum_tests(options):
      """Make a set of tests to do maximum."""
  
      test_parameters = [
          {
              "input_dtype": [tf.float32],
              "input_shape_1": [
                  [],
                  [3],
                  [1, 100],
                  [4, 2, 3],
                  [5, 224, 224, 3],
                  [5, 32, 32, 3, 1],
                  [5, 32, 32, 3, 1],
              ],
              "input_shape_2": [
                  [],
                  [3],
                  [1, 100],
                  [4, 2, 3],
                  [5, 224, 224, 3],
                  [5, 32, 32, 3, 3],
                  [5, 32, 32, 3, 1],
              ],
              "fully_quantize": [False, True],
          }
      ]
  
      def build_graph(parameters):
          """Build the maximum op testing graph."""
          input_tensor_1 = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="input_1",
              shape=parameters["input_shape_1"],
          )
          input_tensor_2 = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="input_2",
              shape=parameters["input_shape_2"],
          )
  
          out = tf.maximum(input_tensor_1, input_tensor_2)
          return [input_tensor_1, input_tensor_2], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          """Builds the inputs for the model above."""
          values = [
              create_tensor_data(
                  parameters["input_dtype"],
                  parameters["input_shape_1"],
                  min_value=-1,
                  max_value=1,
              ),
              create_tensor_data(
                  parameters["input_dtype"],
                  parameters["input_shape_2"],
                  min_value=-1,
                  max_value=1,
              ),
          ]
          return values, sess.run(
              outputs, feed_dict=dict(zip(inputs, values))
          )
  
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          expected_tf_failures=44,
      )
  
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_maximum_tests(options) and returns: list,  list, values,  sess