title: how to adjust dataloader and make a new dataloader?
body: <p>let say I have a data loader of cifar10 <br/>
  if I want to remove some value from the dataloader and make a new dataloader<br/>
  how should I do it?</p>
  
  <pre><code>def load_data_cifar10(batch_size=128,test=False):
      if not test:
          train_dset = torchvision.datasets.CIFAR10(root='/mnt/3CE35B99003D727B/input/pytorch/data', train=True,
                                                  download=True, transform=transform)
      else:
          train_dset = torchvision.datasets.CIFAR10(root='/mnt/3CE35B99003D727B/input/pytorch/data', train=False,
                                                 download=True, transform=transform)
      train_loader = torch.utils.data.DataLoader(train_dset, batch_size=batch_size, shuffle=True)
      print("LOAD DATA, %d" % (len(train_loader)))
      return train_loader
  </code></pre>