code: def make_stft_tests(options):
      """Make a set of tests to do rfft2d."""
  
      test_parameters = [
          {
              "input_dtype": [tf.float32],
              "input_shape": [[8], [8, 16], [3, 1, 4]],
              "frame_length": [4, 8],
              "frame_step": [1, 2, 4],
              "fft_length": [None, 2, 4, 8],
          }
      ]
  
      def build_graph(parameters):
          input_value = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="input",
              shape=parameters["input_shape"],
          )
          outs = tf.signal.stft(
              input_value,
              frame_length=parameters["frame_length"],
              frame_step=parameters["frame_step"],
              fft_length=parameters["fft_length"],
          )
          return [input_value], [outs]
  
      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]))
          )
  
      extra_convert_options = ExtraConvertOptions()
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          extra_convert_options,
      )
  
imports: import tensorflow
  from tensorflow.lite.testing.zip_test_utils import create_tensor_data
  from tensorflow.lite.testing.zip_test_utils import ExtraConvertOptions
  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_stft_tests(options) and returns: list,  list, list,  sess