e302434106d43d9f38a0360211421bc468b9291d,test/test_functional_filtering.py,TestFunctionalFiltering,test_lfilter,#TestFunctionalFiltering#,32

Before Change

        

        b_coeffs = torch.tensor(
            [
                0.00299893,
                -0.0051152,
                0.00841964,
                -0.00747802,
                0.00841964,
                -0.0051152,
                0.00299893,
            ]
        )
        a_coeffs = torch.tensor(
            [
                1.0,
                -4.8155751,
                10.2217618,
                -12.14481273,
                8.49018171,
                -3.3066882,
                0.56088705,
            ]
        )

        filepath = os.path.join(self.test_dirpath, "assets", "whitenoise.mp3")
        waveform, sample_rate = torchaudio.load(filepath, normalization=True)
        output_waveform = F.lfilter(waveform, a_coeffs, b_coeffs)
        assert len(output_waveform.size()) == 2
        assert output_waveform.size(0) == waveform.size(0)
        assert output_waveform.size(1) == waveform.size(1)

After Change

        filepath = os.path.join(self.test_dirpath, "assets", "whitenoise.mp3")
        waveform, _ = torchaudio.load(filepath, normalization=True)

        self._test_lfilter(waveform, torch.device("cpu"))

    def test_lfilter_gpu(self):
        if torch.cuda.is_available():

Instances