code: def _read_all_switch(
      self, orig_generator=None, new_generator=None, shuffle=True
  ):
      dl = DataLoader(
          self.dataset,
          batch_size=self.batch_size,
          shuffle=shuffle,
          generator=orig_generator,
      )
      dl = switch_generator(data_loader=dl, generator=new_generator)
      return _read_all(dl)
  
imports: import unittest
  from typing import Optional
  import torch
  import torch.nn
  from opacus import PrivacyEngine
  from opacus.data_loader import DPDataLoader, switch_generator
  from opacus.grad_sample import GradSampleModule
  from opacus.optimizers import DPOptimizer
  from torch.utils.data import DataLoader, TensorDataset
label_desc: Use image node_id 3 for calling the DataLoaderSwitchRandomnessTest obj's underlying member method code with example usage: obj._read_all_switch(orig_generator, new_generator, shuffle) and returns: _read_all