code: def transform(self, dataset, inplace: bool = True):
      if not inplace:
          dataset = copy.deepcopy(dataset)
      with torch.no_grad():
          for i, data in enumerate(dataset):
              dataset[i] = self.__postprocess(
                  self._postprocess(
                      self._transform(
                          self._preprocess(self.__preprocess(data))
                      )
                  )
              )
      return dataset
  
file_path: AutoGL/autogl/module/preprocessing/_data_preprocessor/_data_preprocessor_dgl.py
imports: import copy
  import torch
  import typing
  import dgl
  import autogl.data.graph
  import autogl.data.graph.utils.conversion
  from .None import _data_preprocessor
label_desc: Use image node_id 4 for calling the DataPreprocessor obj's underlying member method code with example usage: obj.transform(dataset, inplace) and returns: dataset