Unverified Commit 3781cb23 authored by top0coder's avatar top0coder Committed by GitHub
Browse files

Remove if __name__ == __main__ from test code (#804)


Co-authored-by: default avatarJeff Zhang <jeffzhang@fb.com>
parent fac1bba9
...@@ -405,7 +405,3 @@ def test_mask_along_axis_iid(mask_param, mask_value, axis): ...@@ -405,7 +405,3 @@ def test_mask_along_axis_iid(mask_param, mask_value, axis):
assert mask_specgrams.size() == specgrams.size() assert mask_specgrams.size() == specgrams.size()
assert (num_masked_columns < mask_param).sum() == num_masked_columns.numel() assert (num_masked_columns < mask_param).sum() == num_masked_columns.numel()
if __name__ == '__main__':
unittest.main()
...@@ -288,7 +288,3 @@ class TestTransforms(common_utils.TorchaudioTestCase): ...@@ -288,7 +288,3 @@ class TestTransforms(common_utils.TorchaudioTestCase):
# Batch then transform # Batch then transform
computed = torchaudio.transforms.Vol(gain=1.1)(waveform.repeat(3, 1, 1)) computed = torchaudio.transforms.Vol(gain=1.1)(waveform.repeat(3, 1, 1))
self.assertEqual(computed, expected) self.assertEqual(computed, expected)
if __name__ == '__main__':
unittest.main()
...@@ -246,7 +246,3 @@ class Test_Kaldi(common_utils.TempDirMixin, common_utils.TorchaudioTestCase): ...@@ -246,7 +246,3 @@ class Test_Kaldi(common_utils.TempDirMixin, common_utils.TorchaudioTestCase):
single_channel_sampled = kaldi.resample_waveform(single_channel, self.test1_signal_sr, single_channel_sampled = kaldi.resample_waveform(single_channel, self.test1_signal_sr,
self.test1_signal_sr // 2) self.test1_signal_sr // 2)
torch.testing.assert_allclose(multi_sound_sampled[i, :], single_channel_sampled[0], rtol=1e-4, atol=1e-7) torch.testing.assert_allclose(multi_sound_sampled[i, :], single_channel_sampled[0], rtol=1e-4, atol=1e-7)
if __name__ == '__main__':
unittest.main()
...@@ -37,7 +37,3 @@ class Test_DataLoader(common_utils.TorchaudioTestCase): ...@@ -37,7 +37,3 @@ class Test_DataLoader(common_utils.TorchaudioTestCase):
dl = DataLoader(ds, batch_size=2) dl = DataLoader(ds, batch_size=2)
for x in dl: for x in dl:
self.assertTrue(x.size() == expected_size) self.assertTrue(x.size() == expected_size)
if __name__ == '__main__':
unittest.main()
...@@ -171,7 +171,3 @@ class TestLibriTTS(TempDirMixin, TorchaudioTestCase): ...@@ -171,7 +171,3 @@ class TestLibriTTS(TempDirMixin, TorchaudioTestCase):
assert original_text == self.original_text assert original_text == self.original_text
assert normalized_text == self.normalized_text assert normalized_text == self.normalized_text
assert utterance_id == f'{"_".join(str(u) for u in expected_ids[-4:])}' assert utterance_id == f'{"_".join(str(u) for u in expected_ids[-4:])}'
if __name__ == "__main__":
unittest.main()
...@@ -282,6 +282,3 @@ class Test_LoadSave(unittest.TestCase): ...@@ -282,6 +282,3 @@ class Test_LoadSave(unittest.TestCase):
self.assertEqual(si.length, samples) self.assertEqual(si.length, samples)
self.assertEqual(si.rate, rate) self.assertEqual(si.rate, rate)
self.assertEqual(ei.bits_per_sample, precision) self.assertEqual(ei.bits_per_sample, precision)
if __name__ == '__main__':
unittest.main()
...@@ -33,7 +33,3 @@ class Test_KaldiIO(common_utils.TorchaudioTestCase): ...@@ -33,7 +33,3 @@ class Test_KaldiIO(common_utils.TorchaudioTestCase):
def test_read_mat_ark(self): def test_read_mat_ark(self):
self._test_helper("mat.ark", [self.data1, self.data2], kio.read_mat_ark, torch.float32) self._test_helper("mat.ark", [self.data1, self.data2], kio.read_mat_ark, torch.float32)
if __name__ == '__main__':
unittest.main()
...@@ -347,7 +347,3 @@ class TestTransforms(common_utils.TorchaudioTestCase): ...@@ -347,7 +347,3 @@ class TestTransforms(common_utils.TorchaudioTestCase):
# torch.dist(spec_lr, spec_ta, p=1) # torch.dist(spec_lr, spec_ta, p=1)
# >>> tensor(943.2759) # >>> tensor(943.2759)
assert torch.dist(spec_orig, spec_ta, p=1) < threshold assert torch.dist(spec_orig, spec_ta, p=1) < threshold
if __name__ == '__main__':
unittest.main()
...@@ -299,7 +299,3 @@ class TestFunctionalFiltering(TempDirMixin, TorchaudioTestCase): ...@@ -299,7 +299,3 @@ class TestFunctionalFiltering(TempDirMixin, TorchaudioTestCase):
data, path = self.get_whitenoise() data, path = self.get_whitenoise()
result = F.lfilter(data, torch.tensor([a0, a1, a2]), torch.tensor([b0, b1, b2])) result = F.lfilter(data, torch.tensor([a0, a1, a2]), torch.tensor([b0, b1, b2]))
self.assert_sox_effect(result, path, ['biquad', b0, b1, b2, a0, a1, a2]) self.assert_sox_effect(result, path, ['biquad', b0, b1, b2, a0, a1, a2])
if __name__ == "__main__":
unittest.main()
...@@ -270,7 +270,3 @@ class Test_SoxEffectsChain(common_utils.TorchaudioTestCase): ...@@ -270,7 +270,3 @@ class Test_SoxEffectsChain(common_utils.TorchaudioTestCase):
y = vad(x_orig) y = vad(x_orig)
self.assertTrue(x.allclose(y, rtol=1e-4, atol=1e-4)) self.assertTrue(x.allclose(y, rtol=1e-4, atol=1e-4))
if __name__ == '__main__':
unittest.main()
...@@ -219,7 +219,3 @@ class Tester(common_utils.TorchaudioTestCase): ...@@ -219,7 +219,3 @@ class Tester(common_utils.TorchaudioTestCase):
computed = transform(specgram) computed = transform(specgram)
assert computed.shape == expected.shape, (computed.shape, expected.shape) assert computed.shape == expected.shape, (computed.shape, expected.shape)
self.assertEqual(computed, expected, atol=1e-6, rtol=1e-8) self.assertEqual(computed, expected, atol=1e-6, rtol=1e-8)
if __name__ == '__main__':
unittest.main()
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