code: def test_functional_call_with_data_parallel_error(
      self, functional_call
  ):
      module = MockModule()
      module.cuda()
      dp_module = torch.nn.DataParallel(module, [0, 1])
      with self.assertRaisesRegex(
          RuntimeError, r"used with nn.DataParallel module"
      ):
          functional_call(
              dp_module,
              {"module.weight": torch.zeros(5, device="cuda")},
              (torch.ones(2, 5, device="cuda"),),
          )
  
imports: import contextlib
  import os
  import re
  import subprocess
  import sys
  import unittest
  import torch
  import torch.nn.utils.stateless
  from torch.testing._internal.common_cuda import TEST_MULTIGPU
  from torch.testing._internal.common_utils import run_tests, TestCase, parametrize, instantiate_parametrized_tests, subtest
label_desc: Use image node_id 6 for calling the TestStatelessFunctionalAPI obj's underlying member method code with example usage: obj.test_functional_call_with_data_parallel_error(functional_call) without return types