code: def make_irfft2d_tests(options):
      """Make a set of tests to do irfft2d."""
  
      test_parameters = [
          {
              "input_dtype": [tf.complex64],
              "input_shape": [[4, 3]],
              "fft_length": [[4, 4], [2, 2], [2, 4]],
          },
          {
              "input_dtype": [tf.complex64],
              "input_shape": [[3, 8, 5]],
              "fft_length": [[2, 4], [2, 8], [8, 8]],
          },
          {
              "input_dtype": [tf.complex64],
              "input_shape": [[3, 1, 9]],
              "fft_length": [[1, 8], [1, 16]],
          },
      ]
  
      def build_graph(parameters):
          input_value = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="input",
              shape=parameters["input_shape"],
          )
          outs = tf.signal.irfft2d(
              input_value, fft_length=parameters["fft_length"]
          )
          return [input_value], [outs]
  
      def build_inputs(parameters, sess, inputs, outputs):
          rfft_length = []
          rfft_length.append(parameters["input_shape"][-2])
          rfft_length.append((parameters["input_shape"][-1] - 1) * 2)
          rfft_input = create_tensor_data(
              np.float32, parameters["input_shape"]
          )
          rfft_result = np.fft.rfft2(rfft_input, rfft_length)
  
          return [rfft_result], sess.run(
              outputs, feed_dict=dict(zip(inputs, [rfft_result]))
          )
  
      extra_convert_options = ExtraConvertOptions()
      extra_convert_options.allow_custom_ops = True
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          extra_convert_options,
      )
  
imports: import numpy
  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_irfft2d_tests(options) and returns: list,  list, list,  sess