[Bug Skip]: test_linalg_xpu.py TestLinalgXPU logaddexp cpu_vs_cuda complex AssertionError CUDA not enabled

### 🐛 Describe the bug

`test_linalg_xpu.py::TestLinalgXPU::test_logaddexp_cpu_vs_cuda_complex_xpu` fails on Windows with Intel XPU (Arc B580) with `AssertionError: Torch not compiled with CUDA enabled`.

### Affected Test Cases

```
test_linalg_xpu.py::TestLinalgXPU::test_logaddexp_cpu_vs_cuda_complex_xpu
```

### Error Message

Click to expand traceback

```
Traceback (most recent call last):
File "C:\Users\gta\miniforge3\envs\202605151131_9ed8fd28_32.0.101.8801_2025.3.2.61\Lib\unittest\case.py", line 58, in testPartExecutor
yield
File "C:\Users\gta\miniforge3\envs\202605151131_9ed8fd28_32.0.101.8801_2025.3.2.61\Lib\unittest\case.py", line 634, in run
self._callTestMethod(testMethod)
File "C:\Users\gta\miniforge3\envs\202605151131_9ed8fd28_32.0.101.8801_2025.3.2.61\Lib\unittest\case.py", line 589, in _callTestMethod
if method() is not None:
^^^^^^^^
File "C:\Users\gta\miniforge3\envs\202605151131_9ed8fd28_32.0.101.8801_2025.3.2.61\Lib\site-packages\torch\testing\_internal\common_utils.py", line 3535, in wrapper
method(*args, **kwargs)
File "C:\Users\gta\miniforge3\envs\202605151131_9ed8fd28_32.0.101.8801_2025.3.2.61\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 535, in instantiated_test
result = test(self, **param_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gta\miniforge3\envs\202605151131_9ed8fd28_32.0.101.8801_2025.3.2.61\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1580, in only_fn
return fn(slf, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gta\repositories\pytorch\pytorch\third_party\torch-xpu-ops\test\xpu\../../../../test\test_linalg.py", line 10519, in test_logaddexp_cpu_vs_cuda_complex
input_complex = torch.complex(input_real, input_img).cuda()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gta\miniforge3\envs\202605151131_9ed8fd28_32.0.101.8801_2025.3.2.61\Lib\site-packages\torch\cuda\__init__.py", line 518, in _lazy_init
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled

```

### Versions

Click to expand environment details

```
PyTorch version: 2.13.0a0+git9ed8fd2
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Microsoft Windows 11 Pro (10.0.26100 64-bit)
GCC version: Could not collect
Clang version: Could not collect
CMake version: version 3.31.6
Libc version: N/A

Python version: 3.12.13 | packaged by conda-forge | (main, Mar 5 2026, 16:36:12) [MSC v.1944 64 bit (AMD64)] (64-bit runtime)
Python platform: Windows-11-10.0.26100-SP0
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
Is XPU available: True
XPU used to build PyTorch: 20250302
Intel GPU driver version:
* 32.0.101.8801 (20260512000000.******+***)
Intel GPU models onboard:
* Intel(R) Arc(TM) B580 Graphics
Intel GPU models detected:
* [0] _XpuDeviceProperties(name='Intel(R) Arc(TM) B580 Graphics', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero V2', type='gpu', device_id=0xE20B, uuid=86800be2-0000-0000-0400-000000000000, driver_version='1.15.37858', total_memory=11875MB, local_mem_size=128KB, max_compute_units=160, memory_clock_rate=0MHz, memory_bus_width=64-bit, gpu_eu_count=160, gpu_subslice_count=20, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1)
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Caching allocator config: N/A

CPU:
Name: Intel(R) Core(TM) Ultra 5 245K
Manufacturer: GenuineIntel
Family: 773
Architecture: 9
ProcessorType: 3
DeviceID: CPU0
CurrentClockSpeed: 3071
MaxClockSpeed: 4200
L2CacheSize: 26624
L2CacheSpeed: None
Revision: None

Versions of relevant libraries:
[pip3] bert_pytorch==0.0.1a4
[pip3] functorch==1.14.0a0+b71aa0b
[pip3] intel-openmp==2025.3.3
[pip3] mkl-include==2025.3.1
[pip3] mkl-static==2025.3.1
[pip3] mypy==2.1.0
[pip3] mypy_extensions==1.1.0
[pip3] numpy==1.26.2
[pip3] onemkl-license==2025.3.1
[pip3] onnx==1.21.0
[pip3] onnx-ir==0.1.16
[pip3] onnxscript==0.6.2
[pip3] optree==0.13.0
[pip3] pytorch-labs-segment-anything-fast==0.2
[pip3] tbb==2022.3.1
[pip3] tbb-devel==2022.3.1
[pip3] tcmlib==1.4.1
[pip3] torch==2.13.0a0+git9ed8fd2
[pip3] torch_geometric==2.4.0
[pip3] torchao==0.17.0
[pip3] torchaudio==2.11.0a0+c0cbdb9
[pip3] torchbench==0.1
[pip3] torchmetrics==1.9.0
[pip3] torchmultimodal==0.1.0b0
[pip3] torchrec-nightly==2022.4.26
[pip3] torchvision==0.27.0a0+499ca51
[pip3] torchx-nightly==2026.5.15
[pip3] triton-xpu==3.7.1+git21033c4e
[conda] bert-pytorch 0.0.1a4 dev_0
[conda] functorch 1.14.0a0+b71aa0b pypi_0 pypi
[conda] intel-openmp 2025.3.3 pypi_0 pypi
[conda] mkl-include 2025.3.1 pypi_0 pypi
[conda] mkl-static 2025.3.1 pypi_0 pypi
[conda] numpy 1.26.2 pypi_0 pypi
[conda] onemkl-license 2025.3.1 pypi_0 pypi
[conda] optree 0.13.0 pypi_0 pypi
[conda] pytorch-labs-segment-anything-fast 0.2 pypi_0 pypi
[conda] tbb 2022.3.1 pypi_0 pypi
[conda] tbb-devel 2022.3.1 pypi_0 pypi
[conda] tcmlib 1.4.1 pypi_0 pypi
[conda] torch 2.13.0a0+git9ed8fd2 pypi_0 pypi
[conda] torch-geometric 2.4.0 pypi_0 pypi
[conda] torchao 0.17.0 pypi_0 pypi
[conda] torchaudio 2.11.0a0+c0cbdb9 pypi_0 pypi
[conda] torchbench 0.1 pypi_0 pypi
[conda] torchmetrics 1.9.0 pypi_0 pypi
[conda] torchmultimodal 0.1.0b0 pypi_0 pypi
[conda] torchrec-nightly 2022.4.26 pypi_0 pypi
[conda] torchvision 0.27.0a0+499ca51 pypi_0 pypi
[conda] torchx-nightly 2026.5.15 pypi_0 pypi
[conda] triton-xpu 3.7.1+git21033c4e pypi_0 pypi
```