test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_xpu_complex128 got AssertionError: Tensor-likes are not close #2149
Description
🐛 Describe the bug with skip template
Last known good: 2.10.0a0+git322091d
Cases:
op_ut,third_party.torch-xpu-ops.test.xpu.test_foreach_xpu.TestForeachXPU,test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_xpu_complex128
Failed log
_ TestForeachXPU.test_pointwise_op_with_tensor_of_scalarlist_overload__foreach_addcdiv_is_fastpath_True_xpu_complex128 _
[gw7] linux -- Python 3.10.18 /tmp/xpu-tool/Python/3.10.18/x64/bin/python
Traceback (most recent call last):
File "/tmp/xpu-tool/Python/3.10.18/x64/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1150, in test_wrapper
return test(*args, **kwargs)
File "/tmp/xpu-tool/Python/3.10.18/x64/lib/python3.10/unittest/mock.py", line 1833, in _inner
return f(*args, **kw)
File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/third_party/torch-xpu-ops/test/xpu/../../../../test/test_foreach.py", line 403, in test_pointwise_op_with_tensor_of_scalarlist_overload
self._pointwise_test(
File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/third_party/torch-xpu-ops/test/xpu/../../../../test/test_foreach.py", line 524, in _pointwise_test
self.assertEqual(expected, actual)
File "/tmp/xpu-tool/Python/3.10.18/x64/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4232, in assertEqual
raise error_metas.pop()[0].to_error( # type: ignore[index]
AssertionError: Tensor-likes are not close!
Mismatched elements: 1 / 2116 (0.0%)
Greatest absolute difference: nan at index (9, 40) (up to 1e-07 allowed)
Greatest relative difference: nan at index (9, 40) (up to 1e-07 allowed)
The failure occurred for item [254]
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/tmp/xpu-tool/Python/3.10.18/x64/lib/python3.10/unittest/case.py", line 59, in testPartExecutor
yield
File "/tmp/xpu-tool/Python/3.10.18/x64/lib/python3.10/unittest/case.py", line 591, in run
self._callTestMethod(testMethod)
File "/tmp/xpu-tool/Python/3.10.18/x64/lib/python3.10/unittest/case.py", line 549, in _callTestMethod
method()
File "/tmp/xpu-tool/Python/3.10.18/x64/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3277, in wrapper
method(*args, **kwargs)
File "/tmp/xpu-tool/Python/3.10.18/x64/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 427, in instantiated_test
result = test(self, **param_kwargs)
File "/tmp/xpu-tool/Python/3.10.18/x64/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1699, in wrapper
fn(*args, **kwargs)
File "/tmp/xpu-tool/Python/3.10.18/x64/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1162, in test_wrapper
raise e_tracked from e
Exception: Tensor-likes are not close!
Mismatched elements: 1 / 2116 (0.0%)
Greatest absolute difference: nan at index (9, 40) (up to 1e-07 allowed)
Greatest relative difference: nan at index (9, 40) (up to 1e-07 allowed)
The failure occurred for item [254]
Caused by sample input at index 53: SampleInput(input=TensorList[Tensor[size=(300, 300), device="xpu:0", dtype=torch.complex128], Tensor[size=(299, 299), device="xpu:0", dtype=torch.complex128], Tensor[size=(298, 298), device="xpu:0", dtype=torch.complex128], Tensor[size=(297, 297), device="xpu:0", dtype=torch.complex128], Tensor[size=(296, 296), device="xpu:0", dtype=torch.complex128], Tensor[size=(295, 295), device="xpu:0", dtype=torch.complex128], Tensor[size=(294, 294), device="xpu:0", dtype=torch.complex128], Tensor[size=(293, 293), device="xpu:0", dtype=torch.complex128], Tensor[size=(292, 292), device="xpu:0", dtype=torch.complex128], Tensor[size=(291, 291), device="xpu:0", dtype=torch.complex128], Tensor[size=(290, 290), device="xpu:0", dtype=torch.complex128], Tensor[size=(289, 289), device="xpu:0", dtype=torch.complex128], Tensor[size=(288, 288), device="xpu:0", dtype=torch.complex128], Tensor[size=(287, 287),
......
dtype=torch.complex128], Tensor[size=(6, 6), device="xpu:0", dtype=torch.complex128], Tensor[size=(5, 5), device="xpu:0", dtype=torch.complex128], Tensor[size=(4, 4), device="xpu:0", dtype=torch.complex128], Tensor[size=(3, 3), device="xpu:0", dtype=torch.complex128], Tensor[size=(2, 2), device="xpu:0", dtype=torch.complex128], Tensor[size=(1, 1), device="xpu:0", dtype=torch.complex128]]), kwargs={'scalars': '(True,1,2.0,(3+4.5j),3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0,3.0)'}, broadcasts_input=False, name='')
Versions
Collecting environment information...
PyTorch version: 2.10.0a0+git17c7170
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.5 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04.2) 11.4.0
Clang version: Could not collect
CMake version: version 3.31.6
Libc version: glibc-2.35
Python version: 3.10.18 (main, Jun 4 2025, 04:05:45) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-5.15.0-153-generic-x86_64-with-glibc2.35
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: 20250201
Intel GPU driver version:
- libze1: 1.21.9.0-1136~22.04
- intel-opencl-icd: 25.18.33578.38-1146~22.04
Intel GPU models onboard:
N/A
Intel GPU models detected: - [0] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-0f00-000000000000, driver_version='1.6.33578+38', total_memory=49136MB, max_compute_units=448, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1)
- [1] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-1600-000000000000, driver_version='1.6.33578+38', total_memory=49136MB, max_compute_units=448, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1)
- [2] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-1a00-000000000000, driver_version='1.6.33578+38', total_memory=49136MB, max_compute_units=448, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1)
- [3] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-1e00-000000000000, driver_version='1.6.33578+38', total_memory=49136MB, max_compute_units=448, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1)
- [4] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-8a00-000000000000, driver_version='1.6.33578+38', total_memory=49136MB, max_compute_units=448, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1)
- [5] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-8e00-000000000000, driver_version='1.6.33578+38', total_memory=49136MB, max_compute_units=448, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1)
- [6] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-c000-000000000000, driver_version='1.6.33578+38', total_memory=49136MB, max_compute_units=448, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1)
- [7] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-c400-000000000000, driver_version='1.6.33578+38', total_memory=49136MB, max_compute_units=448, gpu_eu_count=448, gpu_subslice_count=56, 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
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): 192
On-line CPU(s) list: 0-191
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Platinum 8468V
CPU family: 6
Model: 143
Thread(s) per core: 2
Core(s) per socket: 48
Socket(s): 2
Stepping: 8
Frequency boost: enabled
CPU max MHz: 2401.0000
CPU min MHz: 800.0000
BogoMIPS: 4800.00
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 tsc_known_freq 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 cat_l2 cdp_l3 invpcid_single intel_ppin cdp_l2 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 avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 4.5 MiB (96 instances)
L1i cache: 3 MiB (96 instances)
L2 cache: 192 MiB (96 instances)
L3 cache: 195 MiB (2 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-47,96-143
NUMA node1 CPU(s): 48-95,144-191
Vulnerability Gather data sampling: 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 Reg file data sampling: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: 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 / Automatic IBRS; IBPB disabled; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] dpcpp-cpp-rt==2025.2.1
[pip3] impi-rt==2021.16.1
[pip3] intel-cmplr-lib-rt==2025.2.1
[pip3] intel-cmplr-lib-ur==2025.2.1
[pip3] intel-cmplr-lic-rt==2025.2.1
[pip3] intel-opencl-rt==2025.2.1
[pip3] intel-openmp==2025.2.1
[pip3] intel-pti==0.13.1
[pip3] intel-sycl-rt==2025.2.1
[pip3] mkl==2025.2.0
[pip3] mypy==1.16.0
[pip3] mypy_extensions==1.1.0
[pip3] numpy==1.22.4
[pip3] oneccl==2021.16.1
[pip3] oneccl-devel==2021.16.1
[pip3] onemkl-sycl-blas==2025.2.0
[pip3] onemkl-sycl-dft==2025.2.0
[pip3] onemkl-sycl-lapack==2025.2.0
[pip3] onemkl-sycl-rng==2025.2.0
[pip3] onemkl-sycl-sparse==2025.2.0
[pip3] onnx==1.18.0
[pip3] onnx-ir==0.1.10
[pip3] onnxscript==0.5.3
[pip3] optree==0.13.0
[pip3] pytorch-triton-xpu==3.5.0+git1b0418a9
[pip3] tbb==2022.2.0
[pip3] tcmlib==1.4.0
[pip3] torch==2.10.0a0+git17c7170
[pip3] torchao==0.14.0.dev20251009+xpu
[pip3] torchaudio==2.8.0a0+87ff22e
[pip3] torchvision==0.22.0a0+966da7e
[pip3] umf==0.11.0
[conda] Could not collect