code: def __call__(self):
      if self._func is None:
          self._func = self._cls(*self._args, **self._kwargs)
          return self
  
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 2 for calling the TransformWrapper obj's underlying member method code with example usage: obj.__call__() and returns: self