Fix flake8 lint

fairseq/data.py

@@ -113,11 +113,9 @@ class LanguageDatasets(object):
             batch_sampler=batch_sampler)
 
     def eval_dataloader(self, split, num_workers=0, batch_size=1,
-                        max_tokens=None, consider_dst_sizes=True,
-                        max_positions=(1024, 1024),
+                        max_tokens=None, max_positions=(1024, 1024),
                         skip_invalid_size_inputs_valid_test=False):
         dataset = self.splits[split]
-        dst_dataset = dataset.dst if consider_dst_sizes else None
         batch_sampler = list(batches_by_size(
             dataset.src, dataset.dst, batch_size, max_tokens,
             max_positions=max_positions,

fairseq/models/fairseq_incremental_decoder.py

@@ -6,8 +6,6 @@
 # can be found in the PATENTS file in the same directory.
 #
 
-import torch.nn as nn
-
 from . import FairseqDecoder
 
 

interactive.py

@@ -10,7 +10,7 @@ import sys
 import torch
 from torch.autograd import Variable
 
-from fairseq import data, options, tokenizer, utils
+from fairseq import options, tokenizer, utils
 from fairseq.sequence_generator import SequenceGenerator
 
 
@@ -73,5 +73,6 @@ def main():
             print('A\t{}'.format(' '.join(map(str, alignment))))
             print('H\t{}\t{}'.format(hypo['score'], hypo_str))
 
+
 if __name__ == '__main__':
     main()