docstr: Resets the dataloader. Only implemented for disk StorageLevel.
docstr_tok: ["Resets","the","dataloader",".","Only","implemented","for","disk","StorageLevel","."]
code: def reset(self):
      """
      Resets the dataloader. Only implemented for disk StorageLevel.
      """
  
      if self.storage_level == constants.StorageLevel.DENSE:
          pass
      elif self.storage_level == constants.StorageLevel.SPARSE:
          pass
      elif self.storage_level == constants.StorageLevel.DISK:
          if self.format == constants.DataFormat.SVM:
              self.loader.reset()
          else:
              raise NotImplementedError
  
imports: import os
  import pickle
  import sys
  import time
  import numpy
  import scipy.sparse
  from sklearn.datasets import load_svmlight_file
  import torch
  from torch.utils.data import DataLoader, Dataset
  from torch.utils.data.dataloader import _SingleProcessDataLoaderIter, _MultiProcessingDataLoaderIter, _utils
  from .None import constants
  from .None import syssettings
label_desc: Use image node_id 8 for calling the PrepareData obj's underlying member method code with example usage: obj.reset() without return types