Consistent newlines

word_language_model/main.py

@@ -108,6 +108,7 @@ def repackage_hidden(h):
     else:
         return tuple(repackage_hidden(v) for v in h)
 
+
 # get_batch subdivides the source data into chunks of length args.bptt.
 # If source is equal to the example output of the batchify function, with
 # a bptt-limit of 2, we'd get the following two Variables for i = 0:
@@ -117,6 +118,7 @@ def repackage_hidden(h):
 # done along the batch dimension (i.e. dimension 1), since that was handled
 # by the batchify function. The chunks are along dimension 0, corresponding
 # to the seq_len dimension in the LSTM.
+
 def get_batch(source, i, evaluation=False):
     seq_len = min(args.bptt, len(source) - 1 - i)
     data = Variable(source[i:i+seq_len], volatile=evaluation)