code: def _transform(self, data=None):
      return self._func(data)
  
imports: from operator import xor
  from .utils import data_is_tensor, data_tensor2np, data_np2tensor
  import numpy
  import copy
  from torch_geometric.utils.convert import to_networkx
  from torch.utils.data import Dataset
  import torch
  from ...utils import get_logger
label_desc: Use image node_id 3 for calling the TransformWrapper obj's underlying member method code with example usage: obj._transform(data) and returns: self