code: def test_tflite_convert(
      self, window_fn, window_length, periodic, dtype
  ):
      def fn(window_length):
          try:
              return window_fn(
                  window_length, periodic=periodic, dtype=dtype
              )
          except TypeError:
              return window_fn(window_length, dtype=dtype)
  
      tflite_model = test_util.tflite_convert(
          fn, [tensor_spec.TensorSpec(shape=[], dtype=dtypes.int32)]
      )
      window_length = np.array(window_length).astype(np.int32)
      (actual_output,) = test_util.evaluate_tflite_model(
          tflite_model, [window_length]
      )
  
      expected_output = self.evaluate(fn(window_length))
      self.assertAllClose(
          actual_output, expected_output, rtol=1e-6, atol=1e-6
      )
  
imports: import functools
  import itertools
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.signal import test_util
  from tensorflow.python.ops.signal import window_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the WindowOpsTest obj's underlying member method code with example usage: obj.test_tflite_convert(window_fn, window_length, periodic, dtype) and returns: window_fn, window_fn