Description
🐛 Describe the bug
error:
File "/home/sdp/penghuic/pytorch/test/distributed/test_inductor_collectives.py", line 276, in all_reduce_wait
work.wait(datetime.timedelta(seconds=10))
RuntimeError: Work ran time out after 15370 milliseconds.
reproduct step:
pytest -vs test_inductor_collectives.py -k test_eager_async_allreduce_inductor_wait
error message:
Traceback (most recent call last):
File "/home/sdp/penghuic/pytorch/torch/testing/_internal/common_distributed.py", line 645, in wrapper
self._join_processes(fn)
File "/home/sdp/penghuic/pytorch/torch/testing/_internal/common_distributed.py", line 900, in _join_processes
self._check_return_codes(elapsed_time)
File "/home/sdp/penghuic/pytorch/torch/testing/_internal/common_distributed.py", line 951, in _check_return_codes
raise RuntimeError(error)
RuntimeError: Process 1 exited with error code 10 and exception:
Traceback (most recent call last):
File "/home/sdp/penghuic/pytorch/torch/testing/_internal/common_distributed.py", line 780, in run_test
getattr(self, test_name)()
File "/home/sdp/penghuic/pytorch/torch/testing/_internal/common_distributed.py", line 647, in wrapper
fn()
File "/home/sdp/penghuic/pytorch/torch/testing/_internal/common_utils.py", line 3142, in wrapper
method(*args, **kwargs)
File "/home/sdp/penghuic/pytorch/torch/testing/_internal/common_distributed.py", line 207, in wrapper
return func(*args, **kwargs)
File "/home/sdp/penghuic/pytorch/torch/testing/_internal/common_utils.py", line 1863, in wrapper
return fn(*args, **kwargs)
File "/home/sdp/penghuic/pytorch/test/distributed/test_inductor_collectives.py", line 310, in test_eager_async_allreduce_ind
uctor_wait
work, y, out_ref = _run_loop_collective_wait(
File "/home/sdp/penghuic/pytorch/test/distributed/test_inductor_collectives.py", line 302, in _run_loop_collective_wait
out = wait_fn(work, y)
File "/home/sdp/penghuic/pytorch/test/distributed/test_inductor_collectives.py", line 276, in all_reduce_wait
work.wait(datetime.timedelta(seconds=10))
RuntimeError: Work ran time out after 15370 milliseconds.
Versions
Collecting environment information...
PyTorch version: 2.8.0a0+gitf6a8c6a
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) 11.4.0
Clang version: Could not collect
CMake version: version 4.0.0
Libc version: glibc-2.35
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-5.15.0-138-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
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_tilenditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] mypy==1.14.0
[pip3] mypy_extensions==1.1.0
[pip3] numpy==1.22.4
[pip3] onnx==1.17.0
[pip3] onnxscript==0.2.2
[pip3] optree==0.13.0
[pip3] torch==2.8.0a0+gitf6a8c6a
[pip3] triton==3.3.0+gitbdd0656b
[conda] mkl-include 2025.1.0 pypi_0 pypi
[conda] mkl-static 2025.1.0 pypi_0 pypi
[conda] numpy 1.22.4 pypi_0 pypi
[conda] optree 0.13.0 pypi_0 pypi
[conda] torch 2.8.0a0+gitf6a8c6a dev_0
[conda] triton 3.3.0+gitbdd0656b pypi_0 pypi