code: def set_sampling_mode(self, sampling_mode):
      self.dataset.set_sampling_mode(sampling_mode)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import random
  import numpy
  import torch
  from torch.utils.data import Dataset, DataLoader
label_desc: Use image node_id 3 for calling the PyTorchTrainDataLoader obj's underlying member method code with example usage: obj.set_sampling_mode(sampling_mode) without return types