_refs.where got AssertionError: "Expected all tensors to be on the same device" does not match "Tensor on device xpu:0 is not on the expected device cpu!" #2290
Description
🐛 Describe the bug
________________________________________ TestCommonXPU.test_python_ref_errors__refs_where_xpu _________________[38/8013]
______________
RuntimeError: Tensor on device xpu:0 is not on the expected device cpu!
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/daisyden/miniforge3/envs/torch_ops_s2/lib/python3.10/site-packages/torch/testing/_internal/common_device_t
ype.py", line 1151, in test_wrapper
return test(*args, **kwargs)
File "/home/daisyden/miniforge3/envs/torch_ops_s2/lib/python3.10/site-packages/torch/testing/_internal/common_device_t
ype.py", line 1231, in dep_fn
return fn(slf, *args, **kwargs)
File "/home/daisyden/miniforge3/envs/torch_ops_s2/lib/python3.10/site-packages/torch/testing/_internal/common_device_t
ype.py", line 1490, in only_fn
return fn(self, *args, **kwargs)
File "/home/daisyden/miniforge3/envs/torch_ops_s2/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py
", line 1728, in wrapper
fn(*args, **kwargs)
File "/home/daisyden/upstream/torch_ops_s2/test/test_ops.py", line 839, in test_python_ref_errors
with self.assertRaisesRegex(ei.error_type, ei.error_regex):
File "/home/daisyden/miniforge3/envs/torch_ops_s2/lib/python3.10/unittest/case.py", line 239, in __exit__
self._raiseFailure('"{}" does not match "{}"'.format(
File "/home/daisyden/miniforge3/envs/torch_ops_s2/lib/python3.10/unittest/case.py", line 163, in _raiseFailure
raise self.test_case.failureException(msg)
File "/home/daisyden/miniforge3/envs/torch_ops_s2/lib/python3.10/unittest/case.py", line 239, in __exit__
self._raiseFailure('"{}" does not match "{}"'.format(
File "/home/daisyden/miniforge3/envs/torch_ops_s2/lib/python3.10/unittest/case.py", line 163, in _raiseFailure raise self.test_case.failureException(msg)
AssertionError: "Expected all tensors to be on the same device" does not match "Tensor on device xpu:0 is not on the exp
ected device cpu!"
Versions
Collecting environment information...
PyTorch version: N/A
Is debug build: N/A
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.5 LTS (x86_64)
GCC version: (Ubuntu 13.1.0-8ubuntu1~22.04) 13.1.0
Clang version: Could not collect
CMake version: version 3.31.6
Libc version: glibc-2.35
Python version: 3.10.19 | packaged by conda-forge | (main, Oct 22 2025, 22:29:10) [GCC 14.3.0] (64-bit runtime)
Python platform: Linux-5.15.0-73-generic-x86_64-with-glibc2.35
Is CUDA available: N/A
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: Could not collect
Is XPU available: N/A
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: N/A
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 46 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 48
On-line CPU(s) list: 0-47
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Gold 6342 CPU @ 2.80GHz
CPU family: 6
Model: 106
Thread(s) per core: 2
Core(s) per socket: 24
Socket(s): 1
Stepping: 6
CPU max MHz: 3500.0000
CPU min MHz: 800.0000
BogoMIPS: 5600.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect wbnoinvd dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid fsrm md_clear pconfig flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 1.1 MiB (24 instances)
L1i cache: 768 KiB (24 instances)
L2 cache: 30 MiB (24 instances)
L3 cache: 36 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-47
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Retbleed: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] mypy==1.16.0
[pip3] mypy_extensions==1.1.0
[pip3] numpy==1.22.4
[pip3] onnx==1.19.1
[pip3] onnx-ir==0.1.12
[pip3] onnxscript==0.5.4
[pip3] optree==0.13.0
[pip3] torch==2.10.0a0+gite221c63
[conda] numpy 1.22.4 pypi_0 pypi
[conda] optree 0.13.0 pypi_0 pypi
[conda] torch 2.10.0a0+gite221c63 pypi_0 pypi