[Bug]: Failing Qwen MoE EP Test in CI #24797
Description
Your current environment
The output of python collect_env.py
Collecting environment information...
==============================
System Info
==============================
OS : CentOS Stream 9 (x86_64)
GCC version : (GCC) 11.5.0 20240719 (Red Hat 11.5.0-9)
Clang version : Could not collect
CMake version : version 4.1.0
Libc version : glibc-2.34
==============================
PyTorch Info
==============================
PyTorch version : 2.8.0+cu128
Is debug build : False
CUDA used to build PyTorch : 12.8
ROCM used to build PyTorch : N/A
==============================
Python Environment
==============================
Python version : 3.12.11 (main, Jun 4 2025, 00:00:00) [GCC 11.5.0 20240719 (Red Hat 11.5.0-7)] (64-bit runtime)
Python platform : Linux-6.9.0-0_fbk10_0_gc5fa564d33e3-x86_64-with-glibc2.34
==============================
CUDA / GPU Info
==============================
Is CUDA available : True
CUDA runtime version : 12.8.93
CUDA_MODULE_LOADING set to : LAZY
GPU models and configuration :
GPU 0: NVIDIA H200
GPU 1: NVIDIA H200
GPU 2: NVIDIA H200
GPU 3: NVIDIA H200
GPU 4: NVIDIA H200
GPU 5: NVIDIA H200
GPU 6: NVIDIA H200
GPU 7: NVIDIA H200
Nvidia driver version : 550.90.07
cuDNN version : Probably one of the following:
/usr/lib64/libcudnn.so.9.11.0
/usr/lib64/libcudnn_adv.so.9.11.0
/usr/lib64/libcudnn_cnn.so.9.11.0
/usr/lib64/libcudnn_engines_precompiled.so.9.11.0
/usr/lib64/libcudnn_engines_runtime_compiled.so.9.11.0
/usr/lib64/libcudnn_graph.so.9.11.0
/usr/lib64/libcudnn_heuristic.so.9.11.0
/usr/lib64/libcudnn_ops.so.9.11.0
HIP runtime version : N/A
MIOpen runtime version : N/A
Is XNNPACK available : True
==============================
CPU Info
==============================
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): 224
On-line CPU(s) list: 0-223
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Platinum 8480C
CPU family: 6
Model: 143
Thread(s) per core: 2
Core(s) per socket: 56
Socket(s): 2
Stepping: 8
Frequency boost: enabled
CPU(s) scaling MHz: 100%
CPU max MHz: 2001.0000
CPU min MHz: 800.0000
BogoMIPS: 4000.00
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 intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow 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 hwp hwp_act_window hwp_epp hwp_pkg_req vnmi avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr ibt amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 5.3 MiB (112 instances)
L1i cache: 3.5 MiB (112 instances)
L2 cache: 224 MiB (112 instances)
L3 cache: 210 MiB (2 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-55,112-167
NUMA node1 CPU(s): 56-111,168-223
Vulnerability Gather data sampling: 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: Vulnerable
Vulnerability Spectre v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers
Vulnerability Spectre v2: Vulnerable; IBPB: disabled; STIBP: disabled; PBRSB-eIBRS: Vulnerable; BHI: Vulnerable
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
==============================
Versions of relevant libraries
==============================
[pip3] efficientnet_pytorch==0.7.1
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.26.4
[pip3] nvidia-cublas-cu12==12.8.4.1
[pip3] nvidia-cuda-cupti-cu12==12.8.90
[pip3] nvidia-cuda-nvrtc-cu12==12.8.93
[pip3] nvidia-cuda-runtime-cu12==12.8.90
[pip3] nvidia-cudnn-cu12==9.10.2.21
[pip3] nvidia-cufft-cu12==11.3.3.83
[pip3] nvidia-cufile-cu12==1.13.1.3
[pip3] nvidia-curand-cu12==10.3.9.90
[pip3] nvidia-cusolver-cu12==11.7.3.90
[pip3] nvidia-cusparse-cu12==12.5.8.93
[pip3] nvidia-cusparselt-cu12==0.7.1
[pip3] nvidia-nccl-cu12==2.27.3
[pip3] nvidia-nvjitlink-cu12==12.8.93
[pip3] nvidia-nvtx-cu12==12.8.90
[pip3] open_clip_torch==2.32.0
[pip3] pytorch-lightning==2.5.2
[pip3] pyzmq==27.0.2
[pip3] segmentation_models_pytorch==0.4.0
[pip3] sentence-transformers==3.2.1
[pip3] terratorch==1.1rc2
[pip3] torch==2.8.0
[pip3] torchaudio==2.8.0
[pip3] torchgeo==0.7.0
[pip3] torchmetrics==1.7.4
[pip3] torchvision==0.23.0
[pip3] transformers==4.55.2
[pip3] transformers-stream-generator==0.0.5
[pip3] triton==3.4.0
[pip3] tritonclient==2.51.0
[pip3] vector-quantize-pytorch==1.21.2
[conda] Could not collect
==============================
vLLM Info
==============================
ROCM Version : Could not collect
vLLM Version : 0.10.2rc2.dev548+g52b94fd82 (git sha: 52b94fd82)
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled
GPU Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 NIC0 NIC1 NIC2 NIC3 NIC4 NIC5 NIC6 NIC7 NIC8 NIC9 NIC10 NIC11 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV18 NV18 NV18 NV18 NV18 NV18 NV18 PIX NODE NODE NODE NODE NODE SYS SYS SYS SYS SYS SYS 0-55,112-167 0 N/A
GPU1 NV18 X NV18 NV18 NV18 NV18 NV18 NV18 NODE NODE NODE PIX NODE NODE SYS SYS SYS SYS SYS SYS 0-55,112-167 0 N/A
GPU2 NV18 NV18 X NV18 NV18 NV18 NV18 NV18 NODE NODE NODE NODE PIX NODE SYS SYS SYS SYS SYS SYS 0-55,112-167 0 N/A
GPU3 NV18 NV18 NV18 X NV18 NV18 NV18 NV18 NODE NODE NODE NODE NODE PIX SYS SYS SYS SYS SYS SYS 0-55,112-167 0 N/A
GPU4 NV18 NV18 NV18 NV18 X NV18 NV18 NV18 SYS SYS SYS SYS SYS SYS PIX NODE NODE NODE NODE NODE 56-111,168-223 1 N/A
GPU5 NV18 NV18 NV18 NV18 NV18 X NV18 NV18 SYS SYS SYS SYS SYS SYS NODE NODE NODE PIX NODE NODE 56-111,168-223 1 N/A
GPU6 NV18 NV18 NV18 NV18 NV18 NV18 X NV18 SYS SYS SYS SYS SYS SYS NODE NODE NODE NODE PIX NODE 56-111,168-223 1 N/A
GPU7 NV18 NV18 NV18 NV18 NV18 NV18 NV18 X SYS SYS SYS SYS SYS SYS NODE NODE NODE NODE NODE PIX 56-111,168-223 1 N/A
NIC0 PIX NODE NODE NODE SYS SYS SYS SYS X NODE NODE NODE NODE NODE SYS SYS SYS SYS SYS SYS
NIC1 NODE NODE NODE NODE SYS SYS SYS SYS NODE X PIX NODE NODE NODE SYS SYS SYS SYS SYS SYS
NIC2 NODE NODE NODE NODE SYS SYS SYS SYS NODE PIX X NODE NODE NODE SYS SYS SYS SYS SYS SYS
NIC3 NODE PIX NODE NODE SYS SYS SYS SYS NODE NODE NODE X NODE NODE SYS SYS SYS SYS SYS SYS
NIC4 NODE NODE PIX NODE SYS SYS SYS SYS NODE NODE NODE NODE X NODE SYS SYS SYS SYS SYS SYS
NIC5 NODE NODE NODE PIX SYS SYS SYS SYS NODE NODE NODE NODE NODE X SYS SYS SYS SYS SYS SYS
NIC6 SYS SYS SYS SYS PIX NODE NODE NODE SYS SYS SYS SYS SYS SYS X NODE NODE NODE NODE NODE
NIC7 SYS SYS SYS SYS NODE NODE NODE NODE SYS SYS SYS SYS SYS SYS NODE X PIX NODE NODE NODE
NIC8 SYS SYS SYS SYS NODE NODE NODE NODE SYS SYS SYS SYS SYS SYS NODE PIX X NODE NODE NODE
NIC9 SYS SYS SYS SYS NODE PIX NODE NODE SYS SYS SYS SYS SYS SYS NODE NODE NODE X NODE NODE
NIC10 SYS SYS SYS SYS NODE NODE PIX NODE SYS SYS SYS SYS SYS SYS NODE NODE NODE NODE X NODE
NIC11 SYS SYS SYS SYS NODE NODE NODE PIX SYS SYS SYS SYS SYS SYS NODE NODE NODE NODE NODE X
Legend:
X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
PIX = Connection traversing at most a single PCIe bridge
NV# = Connection traversing a bonded set of # NVLinks
NIC Legend:
NIC0: mlx5_0
NIC1: mlx5_1
NIC2: mlx5_2
NIC3: mlx5_3
NIC4: mlx5_4
NIC5: mlx5_5
NIC6: mlx5_6
NIC7: mlx5_7
NIC8: mlx5_8
NIC9: mlx5_9
NIC10: mlx5_10
NIC11: mlx5_11
==============================
Environment Variables
==============================
CUDA_CACHE_PATH=/data/users/yming/.nv/ComputeCache
VLLM_TORCH_PROFILER_DIR=/home/yming/local/vllm_profile
LD_LIBRARY_PATH=/home/yming/local/cuda-12.8/lib64:/usr/local/cuda-12.8/lib64/:/home/yming/local/cuda-12.8/lib64:/usr/local/cuda-12.8/lib64/:
CUDA_HOME=/home/yming/local/cuda-12.8
CUDA_HOME=/home/yming/local/cuda-12.8
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
CUDA_MODULE_LOADING=LAZY
🐛 Describe the bug
reproduce command:
CUDA_VISIBLE_DEVICES=1,2 VLLM_ALL2ALL_BACKEND=deepep_high_throughput VLLM_USE_DEEP_GEMM=1 VLLM_LOGGING_LEVEL=DEBUG python3 examples/offline_inference/data_parallel.py --model Qwen/Qwen1.5-MoE-A2.7B --tp-size=1 --dp-size=2 --max-model-len 2048
it's the Qwen Distrubted Tests defined in CI file .buildkite/test-pipeline.yaml. What's the condition of triggering this CI test?
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] Traceback (most recent call last): (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/v1/engine/core.py", line 705, in run_engine_core
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] engine_core = DPEngineCoreProc(*args, **kwargs)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/v1/engine/core.py", line 975, in __init__ (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] super().__init__(vllm_config, local_client, handshake_address,
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/v1/engine/core.py", line 505, in __init__
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] super().__init__(vllm_config, executor_class, log_stats,
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/v1/engine/core.py", line 91, in __init__ (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] self._initialize_kv_caches(vllm_config)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/v1/engine/core.py", line 183, in _initialize_kv_caches
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] self.model_executor.determine_available_memory()) (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/v1/executor/abstract.py", line 84, in determine_available_memory
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] return self.collective_rpc("determine_available_memory")
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/executor/uniproc_executor.py", line 58, in collective_rpc
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] answer = run_method(self.driver_worker, method, args, kwargs)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/utils/__init__.py", line 3060, in run_method
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] return func(*args, **kwargs)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] return func(*args, **kwargs)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/v1/worker/gpu_worker.py", line 263, in determine_available_memory
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] self.model_runner.profile_run()
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/v1/worker/gpu_model_runner.py", line 3031, in profile_run
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] = self._dummy_run(self.max_num_tokens, is_profile=True)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] return func(*args, **kwargs) (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/v1/worker/gpu_model_runner.py", line 2809, in _dummy_run
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] outputs = self.model(
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] return self._call_impl(*args, **kwargs) (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] return forward_call(*args, **kwargs)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/model_executor/models/qwen2_moe.py", line 539, in forward 22:51:58 [808/83558]
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] hidden_states = self.model(input_ids, positions, intermediate_tensors,
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/data/users/yming/gitrepos/vllm/vllm/compilation/decorators.py", line 305, in __call__
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] output = self.compiled_callable(*args, **kwargs)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/_dynamo/eval_frame.py", line 749, in compile_wrapper (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/_inductor/compile_fx.py", line 923, in _compile_fx_inner
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] raise InductorError(e, currentframe()).with_traceback( (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/_inductor/compile_fx.py", line 907, in _compile_fx_inner
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] mb_compiled_graph = fx_codegen_and_compile(
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/_inductor/compile_fx.py", line 1578, in fx_codegen_and_compile (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/_inductor/compile_fx.py", line 1377, in codegen_and_compile (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] graph.run(*example_inputs)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/_inductor/graph.py", line 921, in run
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] return super().run(*args)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^ (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/fx/interpreter.py", line 173, in run
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] self.env[node] = self.run_node(node)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/_inductor/graph.py", line 1599, in run_node
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] result = super().run_node(n)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/fx/interpreter.py", line 242, in run_node
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] return getattr(self, n.op)(n.target, args, kwargs)
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] File "/home/yming/uv_env/vllm/lib64/python3.12/site-packages/torch/_inductor/graph.py", line 1345, in output
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] assert all(
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ^^^^
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] torch._inductor.exc.InductorError: AssertionError: (TensorBox(StorageBox(
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ComputedBuffer(name='buf2', layout=FixedLayout('cuda:0', torch.bfloat16, size=[s72, 2048], stride=[2048, 1]), data=Pointwise(device=device(type='cuda', index=0), dtype=torch.bfloat16, inner_fn=<function make_pointwise.<locals>.inner.<locals>.inner_fn at 0x7f32b8ab2660>, ranges=[s72, 2048]))
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] )), TensorBox(
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ReinterpretView( (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] StorageBox(
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ExternKernelOut(
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] python_kernel_name='extern_kernels.mm',
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] name=buf4,
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] layout=FixedLayout('cuda:0', torch.bfloat16, size=[s72, 64], stride=[64, 1]),
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] inputs=[ComputedBuffer(name='buf2', layout=FixedLayout('cuda:0', torch.bfloat16, size=[s72, 2048], stride=[2048, 1]), data=Pointwise(device=device(type='cuda', index=0), dtype=torch.bfloat16, inner_fn=<function make_pointwise.<locals>.inner.<locals>.inner_fn at 0x7f32b8ab2660>, ranges=[s72, 2048])), ComputedBuffer(name='buf3', layout=FlexibleLayout('cuda:0', torch.bfloat16, size=[2048, 64], stride=[64, 1]), data=Pointwise(device=device(type='cuda', index=0), dtype=torch.bfloat16, inner_fn=<function constant_pad_nd.<locals>.offset_fn at 0x7f32b8ab32e0>, ranges=[2048, 64]))],
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] constant_args=(),
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] kwargs={},
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] output_view=None,
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] python_kernel_name=extern_kernels.mm,
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] cpp_kernel_name=at::mm_out,
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ordered_kwargs_for_cpp_kernel=(),
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] op_overload=None,
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] arg_properties=[{}, {}],
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] kwarg_properties=None,
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] unbacked_bindings={},
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] mutation_outputs=[],
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] origin_node=mm_default, (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] origins=OrderedSet([mm_default, constant_pad_nd_default])
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] )
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ),
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] FixedLayout('cuda:0', torch.bfloat16, size=[s72, 60], stride=[64, 1]),
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] origins=OrderedSet([slice_tensor]) (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] )
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ), TensorBox(StorageBox(
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ComputedBuffer(name='buf9', layout=FixedLayout('cuda:0', torch.bfloat16, size=[s72, 2048], stride=[2048, 1]), data=Pointwise(device=device(type='cuda', index=0), dtype=torch.bfloat16, inner_fn=<function make_pointwise.<locals>.inner.<locals>.inner_fn at 0x7f32b8abc680>, ranges=[s72, 2048]))
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] )), (s72, 2048), TensorBox(StorageBox(
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] ComputedBuffer(name='buf10', layout=FixedLayout('cuda:0', torch.bfloat16, size=[s72, 2048], stride=[2048, 1]), data=Pointwise(device=device(type='cuda', index=0), dtype=torch.bfloat16, inner_fn=<function make_pointwise.<locals>.inner.<locals>.inner_fn at 0x7f32b8abc180>, ranges=[s72, 2048]))
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] )))
(EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] (EngineCore_DP1 pid=1125856) ERROR 09-12 22:51:58 [v1/engine/core.py:718] Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"
- adding --enforce-eager works.
- removing
VLLM_ALL2ALL_BACKEND=deepep_high_throughputworks. - deepep_high_throughput with torch.compile doesn't work.
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