code: def test_add_scalar_with_empty_list_and_empty_tensor(
      self, device, dtype
  ):
      # TODO: enable empty list case
      for tensors in [
          [torch.randn([0], device=device, dtype=dtype)],
          [
              torch.empty_strided(
                  (0, 1), (0, 0), dtype=dtype, device=device
              )
          ],
      ]:
          res = torch._foreach_add(tensors, 1)
          self.assertEqual(res, tensors)
  
          torch._foreach_add_(tensors, 1)
          self.assertEqual(res, tensors)
  
          # Regression test for https://github.com/pytorch/pytorch/issues/113156
          torch._foreach_mul_(tensors, 1)
  
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 9 for calling the TestForeach obj's underlying member method code with example usage: obj.test_add_scalar_with_empty_list_and_empty_tensor(device, dtype) without return types