diff --git a/test/torchaudio_unittest/complex_librosa_compatibility_test.py b/test/torchaudio_unittest/complex_librosa_compatibility_test.py
index 7fc44f0e4b..67ca6ca722 100644
--- a/test/torchaudio_unittest/complex_librosa_compatibility_test.py
+++ b/test/torchaudio_unittest/complex_librosa_compatibility_test.py
@@ -17,9 +17,9 @@
     import scipy
 
 import pytest
-
 from torchaudio_unittest import common_utils
 
+
 @unittest.skipIf(not LIBROSA_AVAILABLE, "Librosa not available")
 class TestFunctional(common_utils.TorchaudioTestCase):
     """Test suite for functions in `functional` module."""
@@ -35,7 +35,8 @@ def test_phase_vocoder(self, rate):
         # result in bottom right values of the stretched sectrogram to not
         # match with librosa.
 
-        phase_advance = torch.linspace(0, np.pi * hop_length, complex_specgrams.shape[-2], dtype=torch.double)[..., None]
+        phase_advance = torch.linspace(0, np.pi * hop_length,
+                                       complex_specgrams.shape[-2], dtype=torch.double)[..., None]
 
         complex_specgrams_stretch = F.phase_vocoder(complex_specgrams, rate=rate, phase_advance=phase_advance)
 
@@ -50,7 +51,7 @@ def test_phase_vocoder(self, rate):
         index = [0] + [slice(None)] * 2
         mono_complex_specgram = complex_specgrams[index].numpy()
         expected_complex_stretch = librosa.phase_vocoder(mono_complex_specgram,
-                                                        rate=rate,
-                                                        hop_length=hop_length)
+                                                         rate=rate,
+                                                         hop_length=hop_length)
 
         self.assertEqual(complex_specgrams_stretch[index], torch.from_numpy(expected_complex_stretch))
diff --git a/torchaudio/functional.py b/torchaudio/functional.py
index 246d18e157..4ac71befa0 100644
--- a/torchaudio/functional.py
+++ b/torchaudio/functional.py
@@ -490,9 +490,9 @@ def phase_vocoder(
         >>> x.shape # with 231 == ceil(300 / 1.3)
         torch.Size([2, 1025, 231])
     """
-    USE_COMPLEX = complex_specgrams.is_complex()
+    use_complex = complex_specgrams.is_complex()
     shape = complex_specgrams.size()
-    if USE_COMPLEX:
+    if use_complex:
         # pack batch
         complex_specgrams = complex_specgrams.reshape([-1] + list(shape[-2:]))
         time_steps = torch.arange(0,
@@ -546,7 +546,7 @@ def phase_vocoder(
     real_stretch = mag * torch.cos(phase_acc)
     imag_stretch = mag * torch.sin(phase_acc)
 
-    if USE_COMPLEX:
+    if use_complex:
         complex_specgrams_stretch = torch.view_as_complex(torch.stack([real_stretch, imag_stretch], dim=-1))
 
         # unpack batch
diff --git a/torchaudio/transforms.py b/torchaudio/transforms.py
index bf5d9efc14..fd90abde91 100644
--- a/torchaudio/transforms.py
+++ b/torchaudio/transforms.py
@@ -693,8 +693,8 @@ def forward(self, complex_specgrams: Tensor, overriding_rate: Optional[float] =
         Returns:
             Tensor: Stretched complex spectrogram of dimension (..., freq, ceil(time/rate), complex=2).
         """
-        USE_COMPLEX = complex_specgrams.is_complex()
-        if not USE_COMPLEX:
+        use_complex = complex_specgrams.is_complex()
+        if not use_complex:
             assert complex_specgrams.size(-1) == 2, "complex_specgrams \
             should be a complex tensor, shape (..., complex=2)"