[cpp extension with opcheck failed] NotImplementedError: autograd_registration_check: NYI devices other than CPU/CUDA, got {'xpu'}

[ZhaoqiongZ]

🐛 Describe the bug

Try use cpp extension add a mul_add op with forward and backward based on this example https://github.com/pytorch/extension-cpp
but opcheck failed and got NotImplementedError: autograd_registration_check: NYI devices other than CPU/CUDA, got {'xpu'}

reproduce steps

# create a conda environment and install nightly wheels 
pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/xpu

# uninstall pip installed oneapi 
pip uninstall intel-cmplr-lib-rt  intel-cmplr-lib-ur intel-cmplr-lic-rt intel-pti intel-sycl-rt

# activate oneapi with source command
source /opt/intel/oneapi/compiler/latest/env/vars.sh
source /opt/intel/oneapi/umf/latest/env/vars.sh
source /opt/intel/oneapi/pti/latest/env/vars.sh

git clone https://github.com/ZhaoqiongZ/pytorch_examples.git

cd pytorch_examples/pytorch/extension-cpp-sycl

# to build
pip install --no-build-isolation -e .

# to test, this step will cause opcheck failed
python test/test_extension.py

Versions

Collecting environment information...
PyTorch version: 2.8.0.dev20250427+xpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 24.10 (x86_64)
GCC version: (Ubuntu 14.2.0-4ubuntu2) 14.2.0
Clang version: Could not collect
CMake version: version 3.31.6
Libc version: glibc-2.40

Python version: 3.10.17 | packaged by conda-forge | (main, Apr 10 2025, 22:19:12) [GCC 13.3.0] (64-bit runtime)
Python platform: Linux-6.11.0-24-generic-x86_64-with-glibc2.40
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
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:                        39 bits physical, 48 bits virtual
Byte Order:                           Little Endian
CPU(s):                               6
On-line CPU(s) list:                  0-5
Vendor ID:                            GenuineIntel
Model name:                           Intel(R) Core(TM) i5-9600K CPU @ 3.70GHz
CPU family:                           6
Model:                                158
Thread(s) per core:                   1
Core(s) per socket:                   6
Socket(s):                            1
Stepping:                             13
CPU(s) scaling MHz:                   37%
CPU max MHz:                          4600.0000
CPU min MHz:                          800.0000
BogoMIPS:                             7399.70
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 sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp vnmi md_clear flush_l1d arch_capabilities
Virtualization:                       VT-x
L1d cache:                            192 KiB (6 instances)
L1i cache:                            192 KiB (6 instances)
L2 cache:                             1.5 MiB (6 instances)
L3 cache:                             9 MiB (1 instance)
NUMA node(s):                         1
NUMA node0 CPU(s):                    0-5
Vulnerability Gather data sampling:   Mitigation; Microcode
Vulnerability Itlb multihit:          KVM: Mitigation: VMX disabled
Vulnerability L1tf:                   Not affected
Vulnerability Mds:                    Not affected
Vulnerability Meltdown:               Not affected
Vulnerability Mmio stale data:        Mitigation; Clear CPU buffers; SMT disabled
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed:               Mitigation; Enhanced IBRS
Vulnerability Spec rstack overflow:   Not affected
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; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI SW loop, KVM SW loop
Vulnerability Srbds:                  Mitigation; Microcode
Vulnerability Tsx async abort:        Mitigation; TSX disabled

Versions of relevant libraries:
[pip3] numpy==2.1.2
[pip3] pytorch-triton-xpu==3.3.0+git0bcc8265
[pip3] torch==2.8.0.dev20250427+xpu
[pip3] torchaudio==2.6.0.dev20250428+xpu
[pip3] torchvision==0.22.0.dev20250428+xpu
[conda] numpy                     2.1.2                    pypi_0    pypi
[conda] pytorch-triton-xpu        3.3.0+git0bcc8265          pypi_0    pypi
[conda] torch                     2.8.0.dev20250427+xpu          pypi_0    pypi
[conda] torchaudio                2.6.0.dev20250428+xpu          pypi_0    pypi
[conda] torchvision               0.22.0.dev20250428+xpu          pypi_0    pypi

[ZhaoqiongZ]

Is it a known issue that opcheck not support xpu device?
will we add the support?

[dvrogozh]

Allow torch.library.opcheck() for XPU is not that difficult, see:

• xpu: support custom ops with torch.library on xpu backend pytorch/pytorch#152879

However:

• Do we know of the actual ecosystem projects where we need that?
• Work is needed to enable torch.library tests for XPU. I started that in the above PR, but I noticed that the test is using torch._custom_ops deprecated API planned for removal at pytorch 2.6 (not done). I think cleanup of pytorch would be nice before enabling this thoroughly for xpu.

See (deprecation): https://github.com/pytorch/pytorch/blob/a2ccda3c605bc37457a465711cee40775df54d2e/torch/_custom_op/impl.py#L47

@EikanWang, need your advice...

[ZhaoqiongZ]

autogradXPU also need by huggingface UT with internal tracking ticket PYTORCHDGQ-6168