Remove skipIfNoSoxBackend (#1390)

Co-authored-by: krishnakalyan3 <skalyan@cloudera.com>

test/torchaudio_unittest/common_utils/__init__.py

@@ -17,7 +17,6 @@ from .case_utils import (
     skipIfNoModule,
     skipIfNoKaldi,
     skipIfNoSox,
-    skipIfNoSoxBackend,
 )
 from .wav_utils import (
     get_wav_data,

test/torchaudio_unittest/common_utils/case_utils.py

@@ -7,7 +7,6 @@ import unittest
 
 import torch
 from torch.testing._internal.common_utils import TestCase as PytorchTestCase
-import torchaudio
 from torchaudio._internal.module_utils import (
     is_module_available,
     is_sox_available,
@@ -96,8 +95,6 @@ def skipIfNoModule(module, display_name=None):
     return unittest.skipIf(not is_module_available(module), f'"{display_name}" is not available')
 
 
-skipIfNoSoxBackend = unittest.skipIf(
-    'sox' not in torchaudio.list_audio_backends(), 'Sox backend not available')
 skipIfNoCuda = unittest.skipIf(not torch.cuda.is_available(), reason='CUDA not available')
 skipIfNoSox = unittest.skipIf(not is_sox_available(), reason='Sox not available')
 skipIfNoKaldi = unittest.skipIf(not is_kaldi_available(), reason='Kaldi not available')

test/torchaudio_unittest/compliance_kaldi_test.py

@@ -47,7 +47,6 @@ def extract_window(window, wave, f, frame_length, frame_shift, snip_edges):
 
 @common_utils.skipIfNoSox
 class Test_Kaldi(common_utils.TempDirMixin, common_utils.TorchaudioTestCase):
-    backend = 'sox_io'
 
     kaldi_output_dir = common_utils.get_asset_path('kaldi')
     test_filepath = common_utils.get_asset_path('kaldi_file.wav')
@@ -113,7 +112,7 @@ class Test_Kaldi(common_utils.TempDirMixin, common_utils.TorchaudioTestCase):
         # clear the last 16 bits because they aren't used anyways
         y = ((y >> 16) << 16).float()
         torchaudio.save(self.test_filepath, y, sr)
-        sound, sample_rate = torchaudio.load(self.test_filepath, normalization=False)
+        sound, sample_rate = common_utils.load_wav(self.test_filepath, normalize=False)
         print(y >> 16)
         self.assertTrue(sample_rate == sr)
         self.assertEqual(y, sound)

test/torchaudio_unittest/functional/sox_compatibility_test.py

@@ -2,7 +2,7 @@ import torch
 import torchaudio.functional as F
 
 from torchaudio_unittest.common_utils import (
-    skipIfNoSoxBackend,
+    skipIfNoSox,
     skipIfNoExec,
     TempDirMixin,
     TorchaudioTestCase,
@@ -14,7 +14,7 @@ from torchaudio_unittest.common_utils import (
 )
 
 
-@skipIfNoSoxBackend
+@skipIfNoSox
 @skipIfNoExec('sox')
 class TestFunctionalFiltering(TempDirMixin, TorchaudioTestCase):
     def run_sox_effect(self, input_file, effect):

test/torchaudio_unittest/transforms/sox_compatibility_test.py

@@ -2,17 +2,19 @@ import torchaudio.transforms as T
 from parameterized import parameterized
 
 from torchaudio_unittest.common_utils import (
-    skipIfNoSoxBackend,
+    skipIfNoSox,
     skipIfNoExec,
     TempDirMixin,
     TorchaudioTestCase,
     get_asset_path,
     sox_utils,
     load_wav,
+    save_wav,
+    get_whitenoise,
 )
 
 
-@skipIfNoSoxBackend
+@skipIfNoSox
 @skipIfNoExec('sox')
 class TestFunctionalFiltering(TempDirMixin, TorchaudioTestCase):
     def run_sox_effect(self, input_file, effect):
@@ -24,6 +26,14 @@ class TestFunctionalFiltering(TempDirMixin, TorchaudioTestCase):
         expected, _ = self.run_sox_effect(input_path, effects)
         self.assertEqual(result, expected, atol=atol, rtol=rtol)
 
+    def get_whitenoise(self, sample_rate=8000):
+        noise = get_whitenoise(
+            sample_rate=sample_rate, duration=3, scale_factor=0.9,
+        )
+        path = self.get_temp_path("whitenoise.wav")
+        save_wav(path, noise, sample_rate)
+        return noise, path
+
     @parameterized.expand([
         ('q', 'quarter_sine'),
         ('h', 'half_sine'),