black formatted

egs/librispeech/ASR/tiny_transducer_ctc/ctc_decode.py

@@ -22,10 +22,11 @@
 import argparse
 import logging
 import math
+import pprint
 from collections import defaultdict
 from pathlib import Path
 from typing import Dict, List, Optional, Tuple
-import pprint
+
 import k2
 import sentencepiece as spm
 import torch

egs/librispeech/ASR/tiny_transducer_ctc/encoder.py

@@ -253,7 +253,6 @@ class CausalSqueezeExcite1d(nn.Module):
         return y
 
     def forward(self, x: Tensor) -> Tensor:
-
         assert len(x.shape) == 3, "Input is not a 3D tensor!"
         y = self.exponential_moving_avg(x)
         y = y.permute(0, 2, 1)  # make channel last for squeeze op