def test_allpass(self):
        """
        Test biquad allpass filter, compare to SoX implementation
        """

        CENTRAL_FREQ = 1000
        Q = 0.707

        noise_filepath = os.path.join(self.test_dirpath, "assets",
                                      "whitenoise.wav")
        E = torchaudio.sox_effects.SoxEffectsChain()
        E.set_input_file(noise_filepath)
        E.append_effect_to_chain("allpass", [CENTRAL_FREQ, str(Q) + 'q'])
        sox_output_waveform, sr = E.sox_build_flow_effects()

        waveform, sample_rate = torchaudio.load(noise_filepath,
                                                normalization=True)
        output_waveform = F.allpass_biquad(waveform, sample_rate, CENTRAL_FREQ,
                                           Q)

        torch.testing.assert_allclose(output_waveform,
                                      sox_output_waveform,
                                      atol=1e-4,
                                      rtol=1e-5)
 def func(tensor):
     sample_rate = 44100
     central_freq = 1000.
     q = 0.707
     return F.allpass_biquad(tensor, sample_rate, central_freq, q)