Fix code style

egs/librispeech/ASR/conformer_ctc/conformer.py

@@ -452,7 +452,6 @@ class RelPositionMultiheadAttention(nn.Module):
 
         self._reset_parameters()
 
-
     def _reset_parameters(self) -> None:
         nn.init.xavier_uniform_(self.in_proj.weight)
         nn.init.constant_(self.in_proj.bias, 0.0)
@@ -682,7 +681,6 @@ class RelPositionMultiheadAttention(nn.Module):
                 _b = _b[_start:]
             v = nn.functional.linear(value, _w, _b)
 
-
         if attn_mask is not None:
             assert (
                 attn_mask.dtype == torch.float32

egs/librispeech/ASR/conformer_ctc/train.py

@@ -139,7 +139,8 @@ def get_params() -> AttributeDict:
 
         - subsampling_factor:  The subsampling factor for the model.
 
-        - use_feat_batchnorm: Whether to do batch normalization for the input features.
+        - use_feat_batchnorm: Whether to do batch normalization for the
+                              input features.
 
         - attention_dim: Hidden dim for multi-head attention model.
 

egs/librispeech/ASR/tdnn_lstm_ctc/decode.py

@@ -108,7 +108,6 @@ def get_parser():
         """,
     )
 
-
     parser.add_argument(
         "--export",
         type=str2bool,