code: def make_fill_16_tests(options):
      """Make a set of tests to do fill with fp16."""
  
      test_parameters = [
          {
              "dims_dtype": [tf.int32, tf.int64],
              "dims_shape": [[], [1], [3], [3, 3]],
          }
      ]
  
      def build_graph(parameters):
          """Build the fill op testing graph."""
          input1 = tf.compat.v1.placeholder(
              dtype=parameters["dims_dtype"],
              name="dims",
              shape=parameters["dims_shape"],
          )
          const_fp16 = tf.constant(1.0, dtype=tf.float16)
          out = tf.fill(input1, const_fp16)
          return [input1], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input1 = create_tensor_data(
              parameters["dims_dtype"], parameters["dims_shape"], 1
          )
          return [input1], sess.run(
              outputs, feed_dict=dict(zip(inputs, [input1]))
          )
  
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          expected_tf_failures=0,
      )
  
imports: import tensorflow.compat.v2
  from tensorflow.lite.testing.zip_test_utils import create_scalar_data
  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 2 for calling a global function with example usage: make_fill_16_tests(options) and returns: list,  list, list,  sess