          VOCSegDataset(True, crop_size, voc_dir), batch_size=batch_size,
          shuffle=True, drop_last=True, num_workers=num_workers)
      test_iter = paddle.io.DataLoader(
          VOCSegDataset(False, crop_size, voc_dir), batch_size=batch_size,
          drop_last=True, num_workers=num_workers)
      return train_iter, test_iter
  
  d2l.DATA_HUB['cifar10_tiny'] = (d2l.DATA_URL + 'kaggle_cifar10_tiny.zip',
                                  '2068874e4b9a9f0fb07ebe0ad2b29754449ccacd')
  
 
</s> remove         shuffle=True, drop_last=True, num_workers=num_workers)
 </s> add         shuffle=True, return_list=True, drop_last=True, num_workers=num_workers) </s> remove         dataset, batch_size=batch_size, shuffle=True,
 </s> add         dataset, batch_size=batch_size, shuffle=True, return_list=True, </s> remove     train_iter = paddle.io.DataLoader(dataset=train_set, batch_size=batch_size,
 </s> add     train_iter = paddle.io.DataLoader(dataset=train_set, batch_size=batch_size, return_list=True, </s> remove                                            batch_size=batch_size)
 </s> add                                            batch_size=batch_size, return_list=True)
        drop_last=True, return_list=True, num_workers=num_workers)
          VOCSegDataset(True, crop_size, voc_dir), batch_size=batch_size,
          shuffle=True, drop_last=True, num_workers=num_workers)
      test_iter = paddle.io.DataLoader(
          VOCSegDataset(False, crop_size, voc_dir), batch_size=batch_size,
        drop_last=True, return_list=True, num_workers=num_workers)
      return train_iter, test_iter
  
  d2l.DATA_HUB['cifar10_tiny'] = (d2l.DATA_URL + 'kaggle_cifar10_tiny.zip',
                                  '2068874e4b9a9f0fb07ebe0ad2b29754449ccacd')
  
keep keep keep keep replace keep keep keep keep keep
 [PaddlePaddle]Remove multi gpu training (#1205)

* Remove multi gpu training

* Try to Add return list for avoiding runtime error

* Set num_workers to 0

* Remove numbers of fcn.md

* Fix natural-language-inference-attention.md&bert-pretraining.md 
d2l/paddle.py