code: def make_fill_tests(options):
      """Make a set of tests to do fill."""
  
      test_parameters = [
          {
              "dims_dtype": [tf.int32, tf.int64],
              "dims_shape": [[], [1], [3], [3, 3]],
              "value_dtype": [
                  tf.int32,
                  tf.int64,
                  tf.float32,
                  tf.bool,
                  tf.string,
              ],
          }
      ]
  
      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"],
          )
          input2 = tf.compat.v1.placeholder(
              dtype=parameters["value_dtype"], name="value", shape=[]
          )
          out = tf.fill(input1, input2)
          return [input1, input2], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input1 = create_tensor_data(
              parameters["dims_dtype"], parameters["dims_shape"], 1
          )
          input2 = create_scalar_data(parameters["value_dtype"])
          return [input1, input2], sess.run(
              outputs, feed_dict=dict(zip(inputs, [input1, input2]))
          )
  
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          expected_tf_failures=20,
      )
  
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 1 for calling a global function with example usage: make_fill_tests(options) and returns: list,  list, list,  sess