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test_ordered_complex_raises_* - Ordering operations (argmax, argmin, maximum, minimum, sort, topk) do not support complex input/tensors/dtypes聽#5142

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test_ordered_complex_raises_* - Ordering operations (argmax, argmin, maximum, minimum, sort, topk) do not support complex input/tensors/dtypes#5142
Bug
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hw: LNLLunar Lakeos: WindowsWindows Platformtest: utUnit-test failure surface

Description

@mazurjax
mazurjax
opened on Aug 28, 2026

馃悰 Describe the bug

18 UT's fails on Windows LNL with "does not support complex input/dtypes" for ordering operations:

  • argmax, argmin - does not support complex input
  • maximum, minimum - not implemented for complex tensors
  • sort, topk - does not support complex dtypes
Version Status
pytorch_2.14_rc Passed
pytorch_2.15_nightly_20260826 Failed

Affected Test Cases

functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_argmax_xpu_complex128 - Exception: argmax(): does not support complex input
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_argmax_xpu_complex32 - Exception: argmax(): does not support complex input
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_argmax_xpu_complex64 - Exception: argmax(): does not support complex input
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_argmin_xpu_complex128 - Exception: argmin(): does not support complex input
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_argmin_xpu_complex32 - Exception: argmin(): does not support complex input
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_argmin_xpu_complex64 - Exception: argmin(): does not support complex input
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_maximum_xpu_complex128 - Exception: maximum not implemented for complex tensors.
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_maximum_xpu_complex32 - Exception: maximum not implemented for complex tensors.
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_maximum_xpu_complex64 - Exception: maximum not implemented for complex tensors.
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_minimum_xpu_complex128 - Exception: minimum not implemented for complex tensors.
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_minimum_xpu_complex32 - Exception: minimum not implemented for complex tensors.
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_minimum_xpu_complex64 - Exception: minimum not implemented for complex tensors.
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_sort_xpu_complex128 - Exception:  Sort does not support complex dtypes on CPU
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_sort_xpu_complex32 - Exception:  Sort does not support complex dtypes on CPU
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_sort_xpu_complex64 - Exception:  Sort does not support complex dtypes on CPU
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_topk_xpu_complex128 - Exception:  topk does not support complex dtypes on CPU
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_topk_xpu_complex32 - Exception:  topk does not support complex dtypes on CPU
functorch\test_ops_xpu.py::TestOperatorsXPU::test_ordered_complex_raises_topk_xpu_complex64 - Exception:  topk does not support complex dtypes on CPU

Error Message

Exception: argmax(): does not support complex input 
_____ TestOperatorsXPU.test_ordered_complex_raises_argmax_xpu_complex128 ______
[gw0] win32 -- Python 3.12.14 C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\python.exe
Traceback (most recent call last):
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1588, in test_wrapper
    return test(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\repositories\pytorch\pytorch\third_party\torch-xpu-ops\test\xpu\functorch\test_ops_xpu.py", line 2974, in test_ordered_complex_raises
    self.assertRaises(
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 4930, in assertRaises
    return super().assertRaises(expected_exception, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\unittest\case.py", line 778, in assertRaises
    return context.handle('assertRaises', args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\unittest\case.py", line 238, in handle
    callable_obj(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\opinfo\core.py", line 1263, in __call__
    return self.op(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: argmax(): does not support complex input

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 3838, in wrapper
    method(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 672, in instantiated_test
    result = test(self, **param_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 2155, in wrapper
    fn(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1600, in test_wrapper
    raise e_tracked from e
Exception: argmax(): does not support complex input

Caused by sample input at index 0: SampleInput(input=Tensor[size=(), device="xpu:0", dtype=torch.complex128], args=(), kwargs={}, broadcasts_input=False, name='')
Exception: argmin(): does not support complex input 
_____ TestOperatorsXPU.test_ordered_complex_raises_argmin_xpu_complex128 ______
[gw0] win32 -- Python 3.12.14 C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\python.exe
Traceback (most recent call last):
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1588, in test_wrapper
    return test(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\repositories\pytorch\pytorch\third_party\torch-xpu-ops\test\xpu\functorch\test_ops_xpu.py", line 2974, in test_ordered_complex_raises
    self.assertRaises(
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 4930, in assertRaises
    return super().assertRaises(expected_exception, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\unittest\case.py", line 778, in assertRaises
    return context.handle('assertRaises', args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\unittest\case.py", line 238, in handle
    callable_obj(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\opinfo\core.py", line 1263, in __call__
    return self.op(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: argmin(): does not support complex input

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 3838, in wrapper
    method(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 672, in instantiated_test
    result = test(self, **param_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 2155, in wrapper
    fn(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1600, in test_wrapper
    raise e_tracked from e
Exception: argmin(): does not support complex input

Caused by sample input at index 0: SampleInput(input=Tensor[size=(), device="xpu:0", dtype=torch.complex128], args=(), kwargs={}, broadcasts_input=False, name='')
Exception: maximum not implemented for complex tensors 
_____ TestOperatorsXPU.test_ordered_complex_raises_maximum_xpu_complex128 _____
[gw0] win32 -- Python 3.12.14 C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\python.exe
Traceback (most recent call last):
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1588, in test_wrapper
    return test(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\repositories\pytorch\pytorch\third_party\torch-xpu-ops\test\xpu\functorch\test_ops_xpu.py", line 2974, in test_ordered_complex_raises
    self.assertRaises(
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 4930, in assertRaises
    return super().assertRaises(expected_exception, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\unittest\case.py", line 778, in assertRaises
    return context.handle('assertRaises', args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\unittest\case.py", line 238, in handle
    callable_obj(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\opinfo\core.py", line 1263, in __call__
    return self.op(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: maximum not implemented for complex tensors.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 3838, in wrapper
    method(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 672, in instantiated_test
    result = test(self, **param_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 2155, in wrapper
    fn(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1600, in test_wrapper
    raise e_tracked from e
Exception: maximum not implemented for complex tensors.

Caused by sample input at index 0: SampleInput(input=Tensor[size=(), device="xpu:0", dtype=torch.complex128], args=TensorList[Tensor[size=(), device="xpu:0", dtype=torch.complex128]], kwargs={}, broadcasts_input=False, name='')
Exception: minimum not implemented for complex tensors. 
_____ TestOperatorsXPU.test_ordered_complex_raises_minimum_xpu_complex128 _____
[gw0] win32 -- Python 3.12.14 C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\python.exe
Traceback (most recent call last):
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1588, in test_wrapper
    return test(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\repositories\pytorch\pytorch\third_party\torch-xpu-ops\test\xpu\functorch\test_ops_xpu.py", line 2974, in test_ordered_complex_raises
    self.assertRaises(
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 4930, in assertRaises
    return super().assertRaises(expected_exception, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\unittest\case.py", line 778, in assertRaises
    return context.handle('assertRaises', args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\unittest\case.py", line 238, in handle
    callable_obj(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\opinfo\core.py", line 1263, in __call__
    return self.op(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: minimum not implemented for complex tensors.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 3838, in wrapper
    method(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 672, in instantiated_test
    result = test(self, **param_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 2155, in wrapper
    fn(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1600, in test_wrapper
    raise e_tracked from e
Exception: minimum not implemented for complex tensors.

Caused by sample input at index 0: SampleInput(input=Tensor[size=(), device="xpu:0", dtype=torch.complex128], args=TensorList[Tensor[size=(), device="xpu:0", dtype=torch.complex128]], kwargs={}, broadcasts_input=False, name='')
Exception: Sort does not support complex dtypes on CPU 
______ TestOperatorsXPU.test_ordered_complex_raises_sort_xpu_complex128 _______
[gw0] win32 -- Python 3.12.14 C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\python.exe
Traceback (most recent call last):
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1588, in test_wrapper
    return test(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\repositories\pytorch\pytorch\third_party\torch-xpu-ops\test\xpu\functorch\test_ops_xpu.py", line 2974, in test_ordered_complex_raises
    self.assertRaises(
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 4930, in assertRaises
    return super().assertRaises(expected_exception, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\unittest\case.py", line 778, in assertRaises
    return context.handle('assertRaises', args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\unittest\case.py", line 238, in handle
    callable_obj(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\opinfo\core.py", line 1263, in __call__
    return self.op(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
TypeError:  Sort does not support complex dtypes on CPU

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 3838, in wrapper
    method(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 672, in instantiated_test
    result = test(self, **param_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 2155, in wrapper
    fn(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1600, in test_wrapper
    raise e_tracked from e
Exception:  Sort does not support complex dtypes on CPU

Caused by sample input at index 0: SampleInput(input=Tensor[size=(8000,), device="xpu:0", dtype=torch.complex128], args=(), kwargs={}, broadcasts_input=False, name='')
Exception: topk does not support complex dtypes on CPU 
______ TestOperatorsXPU.test_ordered_complex_raises_topk_xpu_complex128 _______
[gw0] win32 -- Python 3.12.14 C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\python.exe
Traceback (most recent call last):
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1588, in test_wrapper
    return test(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\repositories\pytorch\pytorch\third_party\torch-xpu-ops\test\xpu\functorch\test_ops_xpu.py", line 2974, in test_ordered_complex_raises
    self.assertRaises(
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 4930, in assertRaises
    return super().assertRaises(expected_exception, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\unittest\case.py", line 778, in assertRaises
    return context.handle('assertRaises', args, kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\unittest\case.py", line 238, in handle
    callable_obj(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\opinfo\core.py", line 1263, in __call__
    return self.op(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
TypeError:  topk does not support complex dtypes on CPU

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 3838, in wrapper
    method(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 672, in instantiated_test
    result = test(self, **param_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_utils.py", line 2155, in wrapper
    fn(*args, **kwargs)
  File "C:\Users\gta\miniforge3\envs\pytorch_2.15_nightly_20260826\Lib\site-packages\torch\testing\_internal\common_device_type.py", line 1600, in test_wrapper
    raise e_tracked from e
Exception:  topk does not support complex dtypes on CPU

Caused by sample input at index 0: SampleInput(input=Tensor[size=(5, 10, 5), device="xpu:0", dtype=torch.complex128], args=(3), kwargs={}, broadcasts_input=False, name='')

Versions

Click to expand traceback PyTorch version: 2.15.0.dev20260826+xpu Is debug build: False CUDA used to build PyTorch: None ROCM used to build PyTorch: N/A

OS: Microsoft Windows 11 Pro (10.0.26200 64-bit)
GCC version: Could not collect
Clang version: Could not collect
CMake version: version 3.31.6
Libc version: N/A

Python version: 3.12.14 | packaged by conda-forge | (main, Aug 21 2026, 22:37:19) [MSC v.1944 64 bit (AMD64)] (64-bit runtime)
Python platform: Windows-11-10.0.26200-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: 20260100
Intel GPU driver version:

  • 32.0.101.8864 (20260717000000.***+)
    Intel GPU models onboard:
  • Intel(R) Arc(TM) 140V GPU (16GB)
    Intel GPU models detected:
  • [0] _XpuDeviceProperties(name='Intel(R) Arc(TM) 140V GPU (16GB)', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero V2', type='gpu', device_id=0x64A0, uuid=8680a064-0400-0000-0002-000000000000, driver_version='1.15.38308', total_memory=16870MB, local_mem_size=128KB, last_level_cache_size=8192KB, max_compute_units=64, memory_clock_rate=0MHz, memory_bus_width=64-bit, gpu_eu_count=64, gpu_subslice_count=8, 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=1)
    HIP runtime version: N/A
    MIOpen runtime version: N/A
    Is XNNPACK available: False
    Caching allocator config: N/A

CPU:
Name: Intel(R) Core(TM) Ultra 7 258V
Manufacturer: GenuineIntel
Family: 774
Architecture: 9
ProcessorType: 3
DeviceID: CPU0
CurrentClockSpeed: 2200
MaxClockSpeed: 2200
L2CacheSize: 14336
L2CacheSpeed: None
Revision: None

Versions of relevant libraries:
[pip3] dpcpp-cpp-rt==2026.1.0
[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] mkl-include==2024.2.0
[pip3] mkl-static==2024.2.0
[pip3] mypy_extensions==1.1.0
[pip3] numpy==1.26.4
[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] tbb-devel==2021.13.1
[pip3] tcmlib==1.5.0
[pip3] torch==2.15.0.dev20260826+xpu
[pip3] torchaudio==2.11.0.dev20260826+xpu
[pip3] torchvision==0.30.0.dev20260826+xpu
[pip3] triton-xpu==3.8.0+git1e2d42a0
[pip3] umf==1.1.0
[conda] dpcpp-cpp-rt 2026.1.0 pypi_0 pypi
[conda] intel-cmplr-lib-rt 2026.1.0 pypi_0 pypi
[conda] intel-cmplr-lib-ur 2026.1.0 pypi_0 pypi
[conda] intel-cmplr-lic-rt 2026.1.0 pypi_0 pypi
[conda] intel-opencl-rt 2026.1.0 pypi_0 pypi
[conda] intel-openmp 2026.1.0 pypi_0 pypi
[conda] intel-pti 1.0.1 pypi_0 pypi
[conda] intel-sycl-rt 2026.1.0 pypi_0 pypi
[conda] mkl 2026.1.0 pypi_0 pypi
[conda] mkl-include 2024.2.0 pypi_0 pypi
[conda] mkl-static 2024.2.0 pypi_0 pypi
[conda] numpy 1.26.4 pypi_0 pypi
[conda] onemkl-license 2026.1.0 pypi_0 pypi
[conda] onemkl-sycl-blas 2026.1.0 pypi_0 pypi
[conda] onemkl-sycl-dft 2026.1.0 pypi_0 pypi
[conda] onemkl-sycl-lapack 2026.1.0 pypi_0 pypi
[conda] onemkl-sycl-rng 2026.1.0 pypi_0 pypi
[conda] onemkl-sycl-sparse 2026.1.0 pypi_0 pypi
[conda] optree 0.13.0 pypi_0 pypi
[conda] tbb 2023.1.0 pypi_0 pypi
[conda] tbb-devel 2021.13.1 pypi_0 pypi
[conda] tcmlib 1.5.0 pypi_0 pypi
[conda] torch 2.15.0.dev20260826+xpu pypi_0 pypi
[conda] torchaudio 2.11.0.dev20260826+xpu pypi_0 pypi
[conda] torchvision 0.30.0.dev20260826+xpu pypi_0 pypi
[conda] triton-xpu 3.8.0+git1e2d42a0 pypi_0 pypi
[conda] umf 1.1.0 pypi_0 pypi

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    hw: LNLLunar Lakeos: WindowsWindows Platformtest: utUnit-test failure surface

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