code: def test_0dim_tensor_overload_exception(self):
      # check exceptions of fast path
      tensors = [
          make_tensor((2, 2), dtype=torch.float, device="cuda")
          for _ in range(2)
      ]
      with self.assertRaisesRegex(
          RuntimeError, "scalar tensor expected to be on"
      ):
          torch._foreach_add(
              tensors, torch.tensor(1.0, device="cpu"), alpha=1.0
          )
  
      tensors = [
          make_tensor((2, 2), dtype=torch.float, device=d)
          for d in ("cpu", "cuda")
      ]
      with self.assertRaisesRegex(
          RuntimeError, "scalar tensor expected to be 0 dim but"
      ):
          torch._foreach_mul(
              tensors, torch.tensor([1.0, 1.0], device="cuda")
          )
      with self.assertRaisesRegex(
          RuntimeError, "scalar tensor expected to be 0 dim but"
      ):
          torch._foreach_add(
              tensors, torch.tensor([1.0, 1.0], device="cuda")
          )
  
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 25 for calling the TestForeach obj's underlying member method code with example usage: obj.test_0dim_tensor_overload_exception() without return types