remove extra comments. lint.

Author: vincentqb

examples/pipeline/wav2letter.py

@@ -4,6 +4,7 @@
 if __name__ == '__main__':
     mp.set_start_method('forkserver')
 
+
 import argparse
 import collections
 import cProfile
@@ -30,17 +31,20 @@
 import torch.distributed as dist
 import torchaudio
 from matplotlib import pyplot as plt
-from tabulate import tabulate
 from torch import nn, topk
 from torch.optim import SGD, Adadelta, Adam
 from torch.optim.lr_scheduler import ExponentialLR, ReduceLROnPlateau
 from torch.utils.data import DataLoader
 from torchaudio.datasets import LIBRISPEECH, SPEECHCOMMANDS
 from torchaudio.datasets.utils import bg_iterator, diskcache_iterator
-from torchaudio.transforms import MFCC, Resample
 from torchaudio.models.wav2letter import Wav2Letter
+from torchaudio.transforms import MFCC, Resample
 from tqdm.notebook import tqdm as tqdm
 
+from tabulate import tabulate
+
+
+
 print("start time: {}".format(str(datetime.now())), flush=True)
 
 try:
@@ -228,16 +232,10 @@ def save_checkpoint(state, is_best, filename=CHECKPOINT_filename):
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 num_devices = torch.cuda.device_count()
-# num_devices = 1
 print(num_devices, "GPUs", flush=True)
 
 # max number of sentences per batch
 batch_size = args.batch_size
-# batch_size = 2048
-# batch_size = 512
-# batch_size = 256
-# batch_size = 64
-# batch_size = 1
 
 training_percentage = 90.
 validation_percentage = 5.
@@ -254,7 +252,7 @@ def save_checkpoint(state, is_best, filename=CHECKPOINT_filename):
 non_blocking = True
 
 
-# text preprocessing
+# Text preprocessing
 
 char_blank = "*"
 char_space = " "
@@ -550,8 +548,9 @@ def filter_speechcommands(tag, training_percentage, data):
         testing_percentage = (
             100. - training_percentage - validation_percentage)
 
-        def which_set_filter(x): return which_set(
-            x, validation_percentage, testing_percentage) == tag
+        def which_set_filter(x):
+            return which_set(x, validation_percentage, testing_percentage) == tag
+
         data._walker = list(filter(which_set_filter, data._walker))
     return data
 
@@ -1180,4 +1179,3 @@ def forward_decode(inputs, targets, decoder):
 )
 print(s.getvalue(), flush=True)
 print("stop time: {}".format(str(datetime.now())), flush=True)
-