code: def make_broadcast_to_tests(options):
      """Make a set of tests to do broadcast_to."""
  
      # Chose a set of parameters
      test_parameters = [
          {
              "input_dtype": [tf.float32, tf.int32],
              "input_shape": [[1, 2], [2, 3, 4], [1], [2, 5, 2, 3, 4]],
              "output_shape": [
                  [3, 1, 2],
                  [5, 2, 3, 4],
                  [10, 10],
                  [1, 2, 1, 2, 5, 2, 3, 4],
              ],
          },
          {
              "input_dtype": [tf.float32, tf.int32],
              "input_shape": [[3, 2, 3, 4, 5, 6, 7, 8]],
              "output_shape": [[3, 2, 3, 4, 5, 6, 7, 8]],
          },
          {
              "input_dtype": [tf.float32, tf.int32],
              "input_shape": [[1, 3, 1, 2, 1, 4, 1, 1]],
              "output_shape": [[2, 3, 1, 2, 2, 4, 1, 1]],
          },
          {
              "input_dtype": [tf.float32, tf.int32],
              "input_shape": [[2, 1, 1, 2, 1, 4, 1, 1]],
              "output_shape": [[2, 3, 2, 2, 2, 4, 1, 1]],
          },
          {
              "input_dtype": [tf.float32, tf.int32],
              "input_shape": [[3, 4, 1]],
              "output_shape": [[3, 4, 0]],
          },
      ]
  
      def build_graph(parameters):
          """Build the graph for cond tests."""
          input_tensor = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="input",
              shape=parameters["input_shape"],
          )
  
          out = tf.broadcast_to(
              input_tensor, shape=parameters["output_shape"]
          )
          return [input_tensor], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input_values = [
              create_tensor_data(
                  parameters["input_dtype"], parameters["input_shape"]
              )
          ]
          return input_values, sess.run(
              outputs, feed_dict=dict(zip(inputs, input_values))
          )
  
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          expected_tf_failures=16,
      )
  
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_broadcast_to_tests(options) and returns: list,  list, input_values,  sess