code: def make_bitcast_tests(options):
      """Generate examples for bitcast."""
      test_parameters = [
          {
              "input_dtype": [tf.int32],
              "output_dtype": [tf.uint32],
              "input_shape": [[], [1], [1, 2], [3, 4, 5, 6]],
          },
          {
              "input_dtype": [tf.uint32],
              "output_dtype": [tf.int32],
              "input_shape": [[], [1], [1, 2], [3, 4, 5, 6]],
          },
          {
              "input_dtype": [tf.uint32],
              "output_dtype": [tf.int16],
              "input_shape": [[], [1], [1, 2], [3, 4, 5, 6]],
          },
          {
              "input_dtype": [tf.int16],
              "output_dtype": [tf.uint32],
              "input_shape": [[2], [1, 2], [1, 2, 2], [3, 4, 5, 6, 2]],
          },
          {
              "input_dtype": [tf.int32],
              "output_dtype": [tf.int16],
              "input_shape": [[], [1], [1, 2], [3, 4, 5, 6]],
          },
          {
              "input_dtype": [tf.uint16],
              "output_dtype": [tf.uint32],
              "input_shape": [[2], [1, 2], [1, 2, 2], [3, 4, 5, 6, 2]],
          },
          {
              "input_dtype": [tf.float32],
              "output_dtype": [tf.int16],
              "input_shape": [[], [1], [1, 2], [3, 4, 5, 6]],
          },
          {
              "input_dtype": [tf.int16],
              "output_dtype": [tf.float32],
              "input_shape": [[2], [1, 2], [1, 2, 2], [3, 4, 5, 6, 2]],
          },
      ]
  
      def build_graph(parameters):
          """Build the bitcast testing graph."""
          input_value = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="input",
              shape=parameters["input_shape"],
          )
          out = tf.bitcast(input_value, parameters["output_dtype"])
          return [input_value], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input_value = create_tensor_data(
              parameters["input_dtype"], parameters["input_shape"]
          )
          return [input_value], sess.run(
              outputs, feed_dict=dict(zip(inputs, [input_value]))
          )
  
      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_bitcast_tests(options) and returns: list,  list, list,  sess