code: def test_parity(self, device, dtype, op, noncontiguous, inplace):
      if inplace:
          _, _, func, ref = self._get_funcs(op)
      else:
          func, ref, _, _ = self._get_funcs(op)
      for sample in op.sample_inputs(
          device, dtype, noncontiguous=noncontiguous
      ):
          ref_kwargs = sample.kwargs
          # div promotes ints to floats, so we cannot go on the fastpath there
          div_slowpath = (
              dtype in integral_types_and(torch.bool)
              and op.name == "_foreach_div"
          )
          expect_fastpath = not (
              noncontiguous or sample.disable_fastpath or div_slowpath
          )
          ref_input, ctxmgr = sample.input, nullcontext()
          if inplace:
              with torch.no_grad():
                  ref_input = [t.clone().detach() for t in sample.input]
              ctxmgr = InplaceForeachVersionBumpCheck(
                  self, sample.input
              )
          try:
              with ctxmgr:
                  actual = func(
                      [sample.input, *sample.args],
                      self.is_cuda,
                      expect_fastpath,
                      **sample.kwargs,
                  )
          except Exception as e:
              with (
                  self.assertRaisesRegex(type(e), re.escape(str(e)))
                  if not (op.has_no_in_place or not op.supports_out)
                  else self.assertRaises(type(e))
              ):
                  ref([ref_input, *sample.ref_args], **ref_kwargs)
          else:
              expected = ref(
                  [ref_input, *sample.ref_args], **ref_kwargs
              )
              self.assertEqual(expected, actual)
  
imports: from contextlib import nullcontext
  from numbers import Number
  import random
  import re
  import torch
  import unittest
  import itertools
  import weakref
  from torch.testing import make_tensor
  from torch.testing._comparison import default_tolerances
  from torch.testing._internal.common_cuda import TEST_MULTIGPU
  from torch.testing._internal.common_utils import TestCase, run_tests, TEST_WITH_ROCM, skipIfTorchDynamo, parametrize, gradcheck
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, dtypes, onlyCUDA, ops, OpDTypes
  from torch.testing._internal.common_methods_invocations import foreach_unary_op_db, foreach_binary_op_db, foreach_pointwise_op_db, foreach_reduce_op_db, foreach_other_op_db
  from torch.testing._internal.common_dtype import all_types_and_complex_and, floating_types_and, floating_types, integral_types_and
label_desc: Use image node_id 4 for calling the TestForeach obj's underlying member method code with example usage: obj.test_parity(device, dtype, op, noncontiguous, inplace) without return types