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Unverified Commit 6fc8953c authored by moto's avatar moto Committed by GitHub
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Adopt PyTorch's test util to SoX compatibility test (#645)

parent c960b119
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Showing with 25 additions and 24 deletions
test/test_sox_compatibility.py
View file @ 6fc8953c
import unittest
import torch
from torch.testing._internal.common_utils import TestCase
import torchaudio
import torchaudio.functional as F
import torchaudio.transforms as T
......@@ -9,7 +10,7 @@ import common_utils
from common_utils import AudioBackendScope, BACKENDS
class TestFunctionalFiltering(unittest.TestCase):
class TestFunctionalFiltering(TestCase):
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
def test_gain(self):
......@@ -24,7 +25,7 @@ class TestFunctionalFiltering(unittest.TestCase):
E.append_effect_to_chain("gain", [3])
sox_gain_waveform = E.sox_build_flow_effects()[0]
torch.testing.assert_allclose(waveform_gain, sox_gain_waveform, atol=1e-04, rtol=1e-5)
self.assertEqual(waveform_gain, sox_gain_waveform, atol=1e-04, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -40,13 +41,13 @@ class TestFunctionalFiltering(unittest.TestCase):
E.append_effect_to_chain("dither", [])
sox_dither_waveform = E.sox_build_flow_effects()[0]
torch.testing.assert_allclose(waveform_dithered, sox_dither_waveform, atol=1e-04, rtol=1e-5)
self.assertEqual(waveform_dithered, sox_dither_waveform, atol=1e-04, rtol=1e-5)
E.clear_chain()
E.append_effect_to_chain("dither", ["-s"])
sox_dither_waveform_ns = E.sox_build_flow_effects()[0]
torch.testing.assert_allclose(waveform_dithered_noiseshaped, sox_dither_waveform_ns, atol=1e-02, rtol=1e-5)
self.assertEqual(waveform_dithered_noiseshaped, sox_dither_waveform_ns, atol=1e-02, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -69,7 +70,7 @@ class TestFunctionalFiltering(unittest.TestCase):
E.append_effect_to_chain("dither", ["-s"])
wf_vctk_sox = E.sox_build_flow_effects()[0]
torch.testing.assert_allclose(wf_vctk, wf_vctk_sox, rtol=1e-03, atol=1e-03)
self.assertEqual(wf_vctk, wf_vctk_sox, rtol=1e-03, atol=1e-03)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -89,7 +90,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.lowpass_biquad(waveform, sample_rate, cutoff_freq)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -110,7 +111,7 @@ class TestFunctionalFiltering(unittest.TestCase):
output_waveform = F.highpass_biquad(waveform, sample_rate, cutoff_freq)
# TBD - this fails at the 1e-4 level, debug why
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-3, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-3, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -131,7 +132,7 @@ class TestFunctionalFiltering(unittest.TestCase):
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)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -153,7 +154,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.bandpass_biquad(waveform, sample_rate, central_freq, q, const_skirt_gain)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -175,7 +176,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.bandpass_biquad(waveform, sample_rate, central_freq, q, const_skirt_gain)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -196,7 +197,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.bandreject_biquad(waveform, sample_rate, central_freq, q)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -218,7 +219,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.band_biquad(waveform, sample_rate, central_freq, q, noise)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -240,7 +241,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.band_biquad(waveform, sample_rate, central_freq, q, noise)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -262,7 +263,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.treble_biquad(waveform, sample_rate, gain, central_freq, q)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -280,7 +281,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.deemph_biquad(waveform, sample_rate)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -298,7 +299,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.riaa_biquad(waveform, sample_rate)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -316,7 +317,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.contrast(waveform, enhancement_amount)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -335,7 +336,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, _ = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.dcshift(waveform, shift, limiter_gain)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -353,7 +354,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, _ = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.dcshift(waveform, shift)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -372,7 +373,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, _ = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.overdrive(waveform, gain, colour)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -394,7 +395,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.phaser(waveform, sample_rate, gain_in, gain_out, delay_ms, decay, speed, sinusoidal=True)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -416,7 +417,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.phaser(waveform, sample_rate, gain_in, gain_out, delay_ms, decay, speed, sinusoidal=False)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -438,7 +439,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, sample_rate = torchaudio.load(noise_filepath, normalization=True)
output_waveform = F.equalizer_biquad(waveform, sample_rate, center_freq, gain, q)
torch.testing.assert_allclose(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
self.assertEqual(output_waveform, sox_output_waveform, atol=1e-4, rtol=1e-5)
@unittest.skipIf("sox" not in BACKENDS, "sox not available")
@AudioBackendScope("sox")
......@@ -464,7 +465,7 @@ class TestFunctionalFiltering(unittest.TestCase):
waveform, torch.tensor([a0, a1, a2]), torch.tensor([b0, b1, b2])
)
torch.testing.assert_allclose(waveform_lfilter_out, waveform_sox_out, atol=1e-4, rtol=1e-5)
self.assertEqual(waveform_lfilter_out, waveform_sox_out, atol=1e-4, rtol=1e-5)
if __name__ == "__main__":
......
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