code: def test_foreach_reduce_large_input(self, device, dtype, op):
      # test inputs larger than kChunkSize = 65536
      ord, N = 2, 65536 * 2
      disable_fastpath = True
      if ord in (1, 2) and dtype in floating_types_and(
          torch.half, torch.bfloat16
      ):
          disable_fastpath = False
      inputs = (
          [
              make_tensor(
                  (N,), dtype=dtype, device=device, noncontiguous=False
              )
          ],
      )
      wrapped_op, ref, _, _ = self._get_funcs(op)
      self.assertEqual(
          ref(inputs, ord=ord),
          wrapped_op(
              inputs,
              self.is_cuda,
              not disable_fastpath,
              ord=ord,
              zero_size=False,
          ),
      )
  
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 19 for calling the TestForeach obj's underlying member method code with example usage: obj.test_foreach_reduce_large_input(device, dtype, op) without return types