XPU: Segmentation Fault when using newer drivers

### 🐛 Describe the bug

Calling `torch.xpu.get_device_properties()` makes a Segmentation Fault when using newer compute-runtime.

```
davi@davi:~$ podman run --interactive --tty --device=/dev/dri/renderD128 --entrypoint=/bin/bash docker.io/intel/deep-learning-essentials:2025.3.2-0-devel-ubuntu24.04
root@8ba9a4533204:/# apt update && add-apt-repository --yes ppa:deadsnakes/ppa && apt install --yes python3.11 && wget https://bootstrap.pypa.io/get-pip.py && python3.11 get-pip.py && pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/xpu
```

Before upgrading compute-runtime:
```
root@8ba9a4533204:/# python3.11 -c "import torch; print(f'{torch.xpu.get_device_properties(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=86800be2-0000-0000-0900-000000000000, driver_version='1.6.33578+15', total_memory=11605MB, local_mem_size=128KB, max_compute_units=160, 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)
```

After upgrading compute-runtime https://github.com/intel/compute-runtime/releases/tag/26.09.37435.1:
```
root@8ba9a4533204:/# python3.11 -c "import torch; print(f'{torch.xpu.get_device_properties(0)}')"
Segmentation fault (core dumped)
```

### Versions

Taken after installing https://github.com/intel/compute-runtime/releases/tag/25.18.33578.6

```
root@8ba9a4533204:/# curl -sL https://raw.githubusercontent.com/pytorch/pytorch/main/torch/utils/collect_env.py | python3.11
Collecting environment information...
PyTorch version: 2.11.0+xpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 24.04.3 LTS (x86_64)
GCC version: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
Clang version: Could not collect
CMake version: version 3.28.3
Libc version: glibc-2.39

Python version: 3.11.15 (main, Mar 3 2026, 09:26:23) [GCC 13.3.0] (64-bit runtime)
Python platform: Linux-6.19.10-061910-generic-x86_64-with-glibc2.39
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:
* intel-opencl-icd: 25.18.33578.6-0
* libze1: 1.21.9.0-1136~24.04
Intel GPU models onboard:
N/A
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=86800be2-0000-0000-0900-000000000000, driver_version='1.6.33578.600000', total_memory=11605MB, local_mem_size=128KB, max_compute_units=160, 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:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 48 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 16
On-line CPU(s) list: 0-15
Vendor ID: AuthenticAMD
Model name: AMD Ryzen 7 5700X3D 8-Core Processor
CPU family: 25
Model: 33
Thread(s) per core: 2
Core(s) per socket: 8
Socket(s): 1
Stepping: 2
Frequency boost: enabled
CPU(s) scaling MHz: 76%
CPU max MHz: 4151.3838
CPU min MHz: 575.1920
BogoMIPS: 5999.79
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk clzero irperf xsaveerptr rdpru wbnoinvd arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip pku ospke vaes vpclmulqdq rdpid overflow_recov succor smca fsrm debug_swap
Virtualization: AMD-V
L1d cache: 256 KiB (8 instances)
L1i cache: 256 KiB (8 instances)
L2 cache: 4 MiB (8 instances)
L3 cache: 96 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-15
Vulnerability Gather data sampling: Not affected
Vulnerability Ghostwrite: Not affected
Vulnerability Indirect target selection: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Old microcode: Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Mitigation; Safe RET
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines; IBPB conditional; IBRS_FW; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsa: Mitigation; Clear CPU buffers
Vulnerability Tsx async abort: Not affected
Vulnerability Vmscape: Mitigation; IBPB before exit to userspace

Versions of relevant libraries:
[pip3] dpcpp-cpp-rt==2025.3.2
[pip3] impi-rt==2021.17.2
[pip3] intel-cmplr-lib-rt==2025.3.2
[pip3] intel-cmplr-lib-ur==2025.3.2
[pip3] intel-cmplr-lic-rt==2025.3.2
[pip3] intel-opencl-rt==2025.3.2
[pip3] intel-openmp==2025.3.2
[pip3] intel-pti==0.16.0
[pip3] intel-sycl-rt==2025.3.2
[pip3] mkl==2025.3.1
[pip3] numpy==2.4.3
[pip3] oneccl==2021.17.2
[pip3] oneccl-devel==2021.17.2
[pip3] onemkl-license==2025.3.1
[pip3] onemkl-sycl-blas==2025.3.1
[pip3] onemkl-sycl-dft==2025.3.1
[pip3] onemkl-sycl-lapack==2025.3.1
[pip3] onemkl-sycl-rng==2025.3.1
[pip3] onemkl-sycl-sparse==2025.3.1
[pip3] tbb==2022.3.1
[pip3] tcmlib==1.4.1
[pip3] torch==2.11.0+xpu
[pip3] torchaudio==2.11.0+xpu
[pip3] torchvision==0.26.0+xpu
[pip3] triton-xpu==3.7.0
[pip3] umf==1.0.3
[conda] Could not collect
```

cc @gujinghui @EikanWang @fengyuan14 @guangyey