functorch\test_aotdispatch_xpu.py got AssertionError: False is not true

### 🐛 Describe the bug

Cases:
op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_aotdispatch_xpu.TestAOTAutogradWithDynamo,test_output_aliases_input_multi_output_view
op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_aotdispatch_xpu.TestAOTAutograd,test_output_aliases_input_multi_output_view
op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_aotdispatch_xpu.TestAOTAutogradWithCache,test_output_aliases_input_multi_output_view

## ErrorLog
```bash
=================================== FAILURES ===================================
____ TestAOTAutogradWithDynamo.test_output_aliases_input_multi_output_view _____
[gw5] linux -- Python 3.10.21 /__w/torch-xpu-ops/torch-xpu-ops/.venv/bin/python
Traceback (most recent call last):
File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/third_party/torch-xpu-ops/test/xpu/functorch/test_aotdispatch_xpu.py", line 1901, in test_output_aliases_input_multi_output_view
self.assertTrue(all("UnbindBackward" in str(o.grad_fn) for o in out_test[:3]))
File "/github/home/.local/share/uv/python/cpython-3.10-linux-x86_64-gnu/lib/python3.10/unittest/case.py", line 687, in assertTrue
raise self.failureException(msg)
AssertionError: False is not true

To execute this test, run the following from the base repo dir:
PYTORCH_TEST_WITH_SLOW=1 python test/xpu/functorch/test_aotdispatch_xpu.py TestAOTAutogradWithDynamo.test_output_aliases_input_multi_output_view

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
_________ TestAOTAutograd.test_output_aliases_input_multi_output_view __________
[gw1] linux -- Python 3.10.21 /__w/torch-xpu-ops/torch-xpu-ops/.venv/bin/python
Traceback (most recent call last):
File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/third_party/torch-xpu-ops/test/xpu/functorch/test_aotdispatch_xpu.py", line 1901, in test_output_aliases_input_multi_output_view
self.assertTrue(all("UnbindBackward" in str(o.grad_fn) for o in out_test[:3]))
File "/github/home/.local/share/uv/python/cpython-3.10-linux-x86_64-gnu/lib/python3.10/unittest/case.py", line 687, in assertTrue
raise self.failureException(msg)
AssertionError: False is not true

To execute this test, run the following from the base repo dir:
PYTORCH_TEST_WITH_SLOW=1 python test/xpu/functorch/test_aotdispatch_xpu.py TestAOTAutograd.test_output_aliases_input_multi_output_view

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
_____ TestAOTAutogradWithCache.test_output_aliases_input_multi_output_view _____
[gw7] linux -- Python 3.10.21 /__w/torch-xpu-ops/torch-xpu-ops/.venv/bin/python
Traceback (most recent call last):
File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/third_party/torch-xpu-ops/test/xpu/functorch/test_aotdispatch_xpu.py", line 1901, in test_output_aliases_input_multi_output_view
self.assertTrue(all("UnbindBackward" in str(o.grad_fn) for o in out_test[:3]))
File "/github/home/.local/share/uv/python/cpython-3.10-linux-x86_64-gnu/lib/python3.10/unittest/case.py", line 687, in assertTrue
raise self.failureException(msg)
AssertionError: False is not true
```
## Pytorch
latest good : f634d0e91da4cc1d4d669a60ede149214b754854
current : ca66d9844119d868477faa88c782bd46495e1783

## Torch-xpu-ops
latest good : eba857c7146c61cf2db6c45591e901a234a965ca
current : d6fa1aaa5d0c5100624017d22ae7932f0bd9389f

### Versions

Detail
Collecting environment information...
PyTorch version: 2.15.0a0+gitca66d98
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 26.04 LTS (x86_64)
GCC version: (Ubuntu 13.4.0-10ubuntu1) 13.4.0
Clang version: Could not collect
CMake version: version 3.31.6
Libc version: glibc-2.43

Python version: 3.10.21 (main, Sep 1 2026, 14:16:49) [Clang 22.1.3 ] (64-bit runtime)
Python platform: Linux-7.0.0-14-generic-x86_64-with-glibc2.43
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: 20260100
Intel GPU driver version:
* libze1: 1.28.2-2
* intel-opencl-icd: 26.18.38308.1-1~26.04~ppa1
Intel GPU models onboard:
* Intel(R) Arc(TM) Pro B60 Graphics
* Intel(R) Arc(TM) Pro B60 Graphics
* Intel(R) Arc(TM) Pro B60 Graphics
* Intel(R) Arc(TM) Pro B60 Graphics
* Intel(R) Arc(TM) Pro B60 Graphics
* Intel(R) Arc(TM) Pro B60 Graphics
* Intel(R) Arc(TM) Pro B60 Graphics
* Intel(R) Arc(TM) Pro B60 Graphics
Intel GPU models detected:
* [0] _XpuDeviceProperties(name='Intel(R) Arc(TM) Pro B60 Graphics', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero V2', type='gpu', device_id=0xE211, uuid=868011e2-0000-0000-1700-000000000000, driver_version='1.15.38308+1', total_memory=24480MB, local_mem_size=128KB, last_level_cache_size=18432KB, max_compute_units=160, memory_clock_rate=2400MHz, 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, is_integrated_gpu=0)
* [1] _XpuDeviceProperties(name='Intel(R) Arc(TM) Pro B60 Graphics', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero V2', type='gpu', device_id=0xE211, uuid=868011e2-0000-0000-2c00-000000000000, driver_version='1.15.38308+1', total_memory=24480MB, local_mem_size=128KB, last_level_cache_size=18432KB, max_compute_units=160, memory_clock_rate=2400MHz, 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, is_integrated_gpu=0)
* [2] _XpuDeviceProperties(name='Intel(R) Arc(TM) Pro B60 Graphics', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero V2', type='gpu', device_id=0xE211, uuid=868011e2-0000-0000-3d00-000000000000, driver_version='1.15.38308+1', total_memory=24480MB, local_mem_size=128KB, last_level_cache_size=18432KB, max_compute_units=160, memory_clock_rate=2400MHz, 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, is_integrated_gpu=0)
* [3] _XpuDeviceProperties(name='Intel(R) Arc(TM) Pro B60 Graphics', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero V2', type='gpu', device_id=0xE211, uuid=868011e2-0000-0000-4e00-000000000000, driver_version='1.15.38308+1', total_memory=24480MB, local_mem_size=128KB, last_level_cache_size=18432KB, max_compute_units=160, memory_clock_rate=2400MHz, 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, is_integrated_gpu=0)
* [4] _XpuDeviceProperties(name='Intel(R) Arc(TM) Pro B60 Graphics', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero V2', type='gpu', device_id=0xE211, uuid=868011e2-0000-0000-9700-000000000000, driver_version='1.15.38308+1', total_memory=24480MB, local_mem_size=128KB, last_level_cache_size=18432KB, max_compute_units=160, memory_clock_rate=2400MHz, 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, is_integrated_gpu=0)
* [5] _XpuDeviceProperties(name='Intel(R) Arc(TM) Pro B60 Graphics', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero V2', type='gpu', device_id=0xE211, uuid=868011e2-0000-0000-a900-000000000000, driver_version='1.15.38308+1', total_memory=24480MB, local_mem_size=128KB, last_level_cache_size=18432KB, max_compute_units=160, memory_clock_rate=2400MHz, 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, is_integrated_gpu=0)
* [6] _XpuDeviceProperties(name='Intel(R) Arc(TM) Pro B60 Graphics', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero V2', type='gpu', device_id=0xE211, uuid=868011e2-0000-0000-ba00-000000000000, driver_version='1.15.38308+1', total_memory=24480MB, local_mem_size=128KB, last_level_cache_size=18432KB, max_compute_units=160, memory_clock_rate=2400MHz, 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, is_integrated_gpu=0)
* [7] _XpuDeviceProperties(name='Intel(R) Arc(TM) Pro B60 Graphics', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero V2', type='gpu', device_id=0xE211, uuid=868011e2-0000-0000-cb00-000000000000, driver_version='1.15.38308+1', total_memory=24480MB, local_mem_size=128KB, last_level_cache_size=18432KB, max_compute_units=160, memory_clock_rate=2400MHz, 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, is_integrated_gpu=0)
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip3] dpcpp-cpp-rt==2026.1.0
[pip3] impi-rt==2021.18.1
[pip3] intel-cmplr-lib-rt==2026.1.0
[pip3] intel-cmplr-lib-ur==2026.1.0
[pip3] intel-cmplr-lic-rt==2026.1.0
[pip3] intel-opencl-rt==2026.1.0
[pip3] intel-openmp==2026.1.0
[pip3] intel-pti==1.0.1
[pip3] intel-sycl-rt==2026.1.0
[pip3] mkl==2026.1.0
[pip3] mypy==1.16.0
[pip3] mypy_extensions==1.1.0
[pip3] numpy==1.24.4
[pip3] nvidia-cuda-cupti==13.3.75
[pip3] oneccl==2022.1.1
[pip3] oneccl-devel==2022.1.1
[pip3] onemkl-license==2026.1.0
[pip3] onemkl-sycl-blas==2026.1.0
[pip3] onemkl-sycl-dft==2026.1.0
[pip3] onemkl-sycl-lapack==2026.1.0
[pip3] onemkl-sycl-rng==2026.1.0
[pip3] onemkl-sycl-sparse==2026.1.0
[pip3] onnx==1.21.0
[pip3] onnx-ir==0.1.16
[pip3] onnxscript==0.6.2
[pip3] optree==0.13.0
[pip3] tbb==2023.1.0
[pip3] tcmlib==1.5.0
[pip3] torch==2.15.0a0+gitca66d98
[pip3] torchao==0.19.0.dev20260908+xpu
[pip3] torchaudio==2.11.0a0+b85c99c
[pip3] torchvision==0.30.0a0+ac8d215
[pip3] triton-xpu==3.8.0+git1e2d42a0
[pip3] umf==1.1.0
[conda] No relevant packages

Start with test/xpu/functorch/test_aotdispatch_xpu.py at line 1901 and run the three reported test variants using PYTORCH_TEST_WITH_SLOW=1. Compare the behavior between the listed good and current PyTorch and torch-xpu-ops revisions, then trace the failing grad_fn assertion. Done means all three test cases pass with the expected output aliasing behavior.

Written by the indexing model from the issue text.