format update

Author: Ji Chen

torchaudio/models/_wavernn.py

@@ -8,7 +8,7 @@
 
 
 class _ResBlock(nn.Module):
-    r"""ResNet block layer based on 
+    r"""ResNet block layer based on
     `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_
 
     Args:
@@ -170,7 +170,11 @@ def __init__(self,
         up_layers = []
         for scale in upsample_scales:
             stretch = _Stretch2d(scale, 1)
-            conv = nn.Conv2d(in_channels=1, out_channels=1, kernel_size=(1, scale * 2 + 1), padding=(0, scale), bias=False)
+            conv = nn.Conv2d(in_channels=1,
+                             out_channels=1,
+                             kernel_size=(1, scale * 2 + 1),
+                             padding=(0, scale),
+                             bias=False)
             conv.weight.data.fill_(1. / (scale * 2 + 1))
             up_layers.append(stretch)
             up_layers.append(conv)