Renaming MuLawExpanding to MuLawDecoding (#159)

Author: jamarshon

test/test_jit.py

@@ -170,25 +170,25 @@ def test_scriptmodule_MuLawEncoding(self):
 
         self._test_script_module(tensor, transforms.MuLawEncoding)
 
-    def test_torchscript_mu_law_expanding(self):
+    def test_torchscript_mu_law_decoding(self):
         @torch.jit.script
         def jit_method(tensor, qc):
             # type: (Tensor, int) -> Tensor
-            return F.mu_law_expanding(tensor, qc)
+            return F.mu_law_decoding(tensor, qc)
 
         tensor = torch.rand((1, 10))
         qc = 256
 
         jit_out = jit_method(tensor, qc)
-        py_out = F.mu_law_expanding(tensor, qc)
+        py_out = F.mu_law_decoding(tensor, qc)
 
         self.assertTrue(torch.allclose(jit_out, py_out))
 
     @unittest.skipIf(not RUN_CUDA, "no CUDA")
-    def test_scriptmodule_MuLawExpanding(self):
+    def test_scriptmodule_MuLawDecoding(self):
         tensor = torch.rand((1, 10), device="cuda")
 
-        self._test_script_module(tensor, transforms.MuLawExpanding)
+        self._test_script_module(tensor, transforms.MuLawDecoding)
 
 
 if __name__ == '__main__':

test/test_transforms.py

@@ -61,7 +61,7 @@ def test_mu_law_companding(self):
         waveform_mu = transforms.MuLawEncoding(quantization_channels)(waveform)
         self.assertTrue(waveform_mu.min() >= 0. and waveform_mu.max() <= quantization_channels)
 
-        waveform_exp = transforms.MuLawExpanding(quantization_channels)(waveform_mu)
+        waveform_exp = transforms.MuLawDecoding(quantization_channels)(waveform_mu)
         self.assertTrue(waveform_exp.min() >= -1. and waveform_exp.max() <= 1.)
 
     def test_mel2(self):

torchaudio/functional.py

@@ -10,7 +10,7 @@
     'spectrogram_to_DB',
     'create_dct',
     'mu_law_encoding',
-    'mu_law_expanding',
+    'mu_law_decoding',
     'complex_norm',
     'angle',
     'magphase',
@@ -353,7 +353,7 @@ def mu_law_encoding(x, quantization_channels):
 
 
 @torch.jit.script
-def mu_law_expanding(x_mu, quantization_channels):
+def mu_law_decoding(x_mu, quantization_channels):
     # type: (Tensor, int) -> Tensor
     r"""Decode mu-law encoded signal.  For more info see the
     `Wikipedia Entry <https://en.wikipedia.org/wiki/%CE%9C-law_algorithm>`_

torchaudio/transforms.py

@@ -321,7 +321,7 @@ def forward(self, x):
         return F.mu_law_encoding(x, self.quantization_channels)
 
 
-class MuLawExpanding(torch.jit.ScriptModule):
+class MuLawDecoding(torch.jit.ScriptModule):
     r"""Decode mu-law encoded signal.  For more info see the
     `Wikipedia Entry <https://en.wikipedia.org/wiki/%CE%9C-law_algorithm>`_
 
@@ -334,7 +334,7 @@ class MuLawExpanding(torch.jit.ScriptModule):
     __constants__ = ['quantization_channels']
 
     def __init__(self, quantization_channels=256):
-        super(MuLawExpanding, self).__init__()
+        super(MuLawDecoding, self).__init__()
         self.quantization_channels = quantization_channels
 
     @torch.jit.script_method
@@ -346,7 +346,7 @@ def forward(self, x_mu):
         Returns:
             torch.Tensor: The signal decoded
         """
-        return F.mu_law_expanding(x_mu, self.quantization_channels)
+        return F.mu_law_decoding(x_mu, self.quantization_channels)
 
 
 class Resample(torch.nn.Module):