code: def make_atan2_tests(options):
      """Make a set of tests to do atan2."""
  
      test_parameters = [
          {
              "input_dtype": [tf.float32, tf.float64],
              "input_shape": [
                  [],
                  [1],
                  [1, 2],
                  [5, 6, 7, 8],
                  [3, 4, 5, 6],
              ],
          }
      ]
  
      def build_graph(parameters):
          """Build the atan2 op testing graph."""
          input_value1 = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="y",
              shape=parameters["input_shape"],
          )
          input_value2 = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="x",
              shape=parameters["input_shape"],
          )
          out = tf.math.atan2(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"]
          )
          input_value2 = create_tensor_data(
              parameters["input_dtype"], parameters["input_shape"]
          )
          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
      )
  
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_atan2_tests(options) and returns: list,  list, list,  sess