code: def test_different_seed(self) -> None:
      batch_sizes1 = []
      for x, _y in self.dataloader:
          batch_sizes1.append(x.shape[0])
  
      _, dataloader = self._init_data(seed=8)
      batch_sizes2 = []
      for x, _y in dataloader:
          batch_sizes2.append(x.shape[0])
  
      self.assertNotEqual(batch_sizes1, batch_sizes2)
  
file_path: opacus/opacus/tests/poisson_test.py
imports: import unittest
  import numpy
  import torch
  from opacus.utils.uniform_sampler import UniformWithReplacementSampler
label_desc: Use image node_id 6 for calling the PoissonSamplingTest obj's underlying member method code with example usage: obj.test_different_seed() without return types