code: def _read_all_dp(self, dp_generator, original_generator=None):
      dl = DataLoader(
          self.dataset,
          batch_size=self.batch_size,
          generator=original_generator,
      )
      dpdl = DPDataLoader.from_data_loader(dl, generator=dp_generator)
      return _read_all(dpdl)
  
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 2 for calling the DataLoaderRandomnessTest obj's underlying member method code with example usage: obj._read_all_dp(dp_generator, original_generator) and returns: _read_all