[Usage]: vllm serve setup issues on B300 #30441
Description
Your current environment
The output of python collect_env.py
Collecting environment information...
uv is set
==============================
System Info
==============================
OS : Amazon Linux 2023.9.20251208 (x86_64)
GCC version : (GCC) 11.5.0 20240719 (Red Hat 11.5.0-5)
Clang version : Could not collect
CMake version : version 3.22.2
Libc version : glibc-2.34
==============================
PyTorch Info
==============================
PyTorch version : 2.9.0+cu130
Is debug build : False
CUDA used to build PyTorch : 13.0
ROCM used to build PyTorch : N/A
==============================
Python Environment
==============================
Python version : 3.11.14 (main, Nov 12 2025, 00:00:00) [GCC 11.5.0 20240719 (Red Hat 11.5.0-5)] (64-bit runtime)
Python platform : Linux-6.1.158-180.294.amzn2023.x86_64-x86_64-with-glibc2.34
==============================
CUDA / GPU Info
==============================
Is CUDA available : True
CUDA runtime version : 13.0.88
CUDA_MODULE_LOADING set to :
GPU models and configuration :
GPU 0: NVIDIA B300 SXM6 AC
GPU 1: NVIDIA B300 SXM6 AC
GPU 2: NVIDIA B300 SXM6 AC
GPU 3: NVIDIA B300 SXM6 AC
GPU 4: NVIDIA B300 SXM6 AC
GPU 5: NVIDIA B300 SXM6 AC
GPU 6: NVIDIA B300 SXM6 AC
GPU 7: NVIDIA B300 SXM6 AC
Nvidia driver version : 580.105.08
cuDNN version : Could not collect
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, 48 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 8559C
CPU family: 6
Model: 207
Thread(s) per core: 2
Core(s) per socket: 48
Socket(s): 2
Stepping: 2
BogoMIPS: 4800.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq monitor ssse3 fma cx16 pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx_vnni avx512_bf16 wbnoinvd ida arat avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq rdpid cldemote movdiri movdir64b md_clear serialize amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 4.5 MiB (96 instances)
L1i cache: 3 MiB (96 instances)
L2 cache: 192 MiB (96 instances)
L3 cache: 640 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
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds: Not affected
Vulnerability Tsa: Not affected
Vulnerability Tsx async abort: Not affected
Vulnerability Vmscape: Not affected
==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.5.3
[pip3] numpy==2.2.6
[pip3] nvidia-cublas==13.0.0.19
[pip3] nvidia-cuda-cupti==13.0.48
[pip3] nvidia-cuda-nvrtc==13.0.48
[pip3] nvidia-cuda-runtime==13.0.48
[pip3] nvidia-cudnn-cu13==9.13.0.50
[pip3] nvidia-cudnn-frontend==1.16.0
[pip3] nvidia-cufft==12.0.0.15
[pip3] nvidia-cufile==1.15.0.42
[pip3] nvidia-curand==10.4.0.35
[pip3] nvidia-cusolver==12.0.3.29
[pip3] nvidia-cusparse==12.6.2.49
[pip3] nvidia-cusparselt-cu13==0.8.0
[pip3] nvidia-cutlass-dsl==4.3.3
[pip3] nvidia-ml-py==13.590.44
[pip3] nvidia-nccl-cu13==2.27.7
[pip3] nvidia-nvjitlink==13.0.39
[pip3] nvidia-nvshmem-cu13==3.3.24
[pip3] nvidia-nvtx==13.0.39
[pip3] pyzmq==27.1.0
[pip3] torch==2.9.0+cu130
[pip3] torchaudio==2.9.0+cu130
[pip3] torchvision==0.24.0+cu130
[pip3] transformers==4.57.3
[pip3] triton==3.5.0
[conda] Could not collect
==============================
vLLM Info
==============================
ROCM Version : Could not collect
vLLM Version : 0.12.0
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled
GPU Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 NIC0 NIC1 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV18 NV18 NV18 NV18 NV18 NV18 NV18 SYS SYS 0-47,96-143 0 N/A
GPU1 NV18 X NV18 NV18 NV18 NV18 NV18 NV18 SYS SYS 0-47,96-143 0 N/A
GPU2 NV18 NV18 X NV18 NV18 NV18 NV18 NV18 SYS SYS 0-47,96-143 0 N/A
GPU3 NV18 NV18 NV18 X NV18 NV18 NV18 NV18 SYS SYS 0-47,96-143 0 N/A
GPU4 NV18 NV18 NV18 NV18 X NV18 NV18 NV18 NODE NODE 48-95,144-191 1 N/A
GPU5 NV18 NV18 NV18 NV18 NV18 X NV18 NV18 NODE NODE 48-95,144-191 1 N/A
GPU6 NV18 NV18 NV18 NV18 NV18 NV18 X NV18 NODE NODE 48-95,144-191 1 N/A
GPU7 NV18 NV18 NV18 NV18 NV18 NV18 NV18 X NODE NODE 48-95,144-191 1 N/A
NIC0 SYS SYS SYS SYS NODE NODE NODE NODE X PIX
NIC1 SYS SYS SYS SYS NODE NODE NODE NODE PIX 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: ibp198s0f0
NIC1: ibp199s0f0
==============================
Environment Variables
==============================
LD_LIBRARY_PATH=/opt/amazon/openmpi/lib64:/opt/amazon/efa/lib64:/opt/amazon/ofi-nccl/lib64:/usr/local/cuda/lib:/usr/local/cuda:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/targets/x86_64-linux/lib:/usr/local/lib:/usr/lib:/lib:/opt/amazon/openmpi/lib64:/opt/amazon/efa/lib64:/opt/amazon/ofi-nccl/lib64:/usr/local/cuda/lib:/usr/local/cuda:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/targets/x86_64-linux/lib:/usr/local/lib:/usr/lib:/lib:/opt/amazon/openmpi/lib64:/opt/amazon/efa/lib64:/opt/amazon/ofi-nccl/lib64:/usr/local/cuda/lib:/usr/local/cuda:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/targets/x86_64-linux/lib:/usr/local/lib:/usr/lib:/lib:/opt/amazon/openmpi/lib64:/opt/amazon/efa/lib64:/opt/amazon/ofi-nccl/lib64:/usr/local/cuda/lib:/usr/local/cuda:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/targets/x86_64-linux/lib:/usr/local/lib:/usr/lib:/lib
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
How would you like to use vllm
Hi, I am facing issues when using vllm on B300 instances.
launch command
vllm serve --tensor-parallel-size 8 \
--kv-cache-dtype fp8 \
--tool-call-parser glm45 \
--reasoning-parser glm45 \
--enable-auto-tool-choice \
--model zai-org/GLM-4.6-FP8
Error logs (attached full log)
�[0;36m(Worker_TP2 pid=340105)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822]
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] WorkerProc hit an exception.
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] Traceback (most recent call last):
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/vllm/v1/executor/multiproc_executor.py", line 817, in worker_busy_loop
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] output = func(*args, **kwargs)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] return func(*args, **kwargs)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 324, in determine_available_memory
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] self.model_runner.profile_run()
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/vllm/v1/worker/gpu_model_runner.py", line 4357, in profile_run
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] hidden_states, last_hidden_states = self._dummy_run(
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] return func(*args, **kwargs)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/vllm/v1/worker/gpu_model_runner.py", line 4071, in _dummy_run
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] outputs = self.model(
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/vllm/compilation/cuda_graph.py", line 126, in __call__
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] return self.runnable(*args, **kwargs)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] return self._call_impl(*args, **kwargs)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] return forward_call(*args, **kwargs)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/vllm/model_executor/models/glm4_moe.py", line 708, in forward
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] hidden_states = self.model(
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/vllm/compilation/decorators.py", line 514, in __call__
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] output = TorchCompileWithNoGuardsWrapper.__call__(self, *args, **kwargs)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/vllm/compilation/wrapper.py", line 171, in __call__
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] return self._compiled_callable(*args, **kwargs)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_dynamo/eval_frame.py", line 845, in compile_wrapper
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/compile_fx.py", line 990, in _compile_fx_inner
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] raise InductorError(e, currentframe()).with_traceback(
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/compile_fx.py", line 974, in _compile_fx_inner
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] mb_compiled_graph = fx_codegen_and_compile(
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/compile_fx.py", line 1695, in fx_codegen_and_compile
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/compile_fx.py", line 1505, in codegen_and_compile
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] compiled_module = graph.compile_to_module()
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/graph.py", line 2319, in compile_to_module
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] return self._compile_to_module()
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/graph.py", line 2325, in _compile_to_module
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] self.codegen_with_cpp_wrapper() if self.cpp_wrapper else self.codegen()
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/graph.py", line 2260, in codegen
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] self._update_scheduler()
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/vllm/env_override.py", line 363, in _update_scheduler_patched
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] self.scheduler = Scheduler(self.operations)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/scheduler.py", line 2250, in __init__
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] self._init(nodes)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/scheduler.py", line 2344, in _init
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] self.create_combo_kernel_nodes(num_ck_nodes=None)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/scheduler.py", line 3645, in create_combo_kernel_nodes
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] if not self.speedup_by_combo_kernel(node_list):
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/scheduler.py", line 5517, in speedup_by_combo_kernel
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ms, path = self.benchmark_fused_nodes(node_list)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/scheduler.py", line 3047, in benchmark_fused_nodes
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] return backend.benchmark_fused_nodes(nodes)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/codegen/cuda_combined_scheduling.py", line 141, in benchmark_fused_nodes
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] return self._triton_scheduling.benchmark_fused_nodes(nodes)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/codegen/triton.py", line 4778, in benchmark_fused_nodes
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] src_code = self.generate_kernel_code_from_nodes(nodes, benchmark_kernel=True)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/codegen/simd.py", line 2576, in generate_kernel_code_from_nodes
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] src_code = kernel.codegen_kernel()
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/codegen/triton.py", line 4173, in codegen_kernel
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] **self.inductor_meta_common(),
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/_inductor/codegen/triton.py", line 3992, in inductor_meta_common
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] "backend_hash": torch.utils._triton.triton_hash_with_backend(),
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/utils/_triton.py", line 175, in triton_hash_with_backend
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] backend = triton_backend()
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/torch/utils/_triton.py", line 167, in triton_backend
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] target = driver.active.get_current_target()
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/triton/runtime/driver.py", line 28, in active
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] self._active = self.default
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/triton/runtime/driver.py", line 22, in default
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] self._default = _create_driver()
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/triton/runtime/driver.py", line 10, in _create_driver
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] return active_drivers[0]()
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/triton/backends/nvidia/driver.py", line 719, in __init__
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] self.utils = CudaUtils() # TODO: make static
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/triton/backends/nvidia/driver.py", line 63, in __init__
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] mod = compile_module_from_src(
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/triton/runtime/build.py", line 89, in compile_module_from_src
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] so = _build(name, src_path, tmpdir, library_dirs or [], include_dirs or [], libraries or [], ccflags or [])
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/home/coder/vllm-benchmarking/.venv/lib64/python3.11/site-packages/triton/runtime/build.py", line 51, in _build
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] subprocess.check_call(cc_cmd, stdout=subprocess.DEVNULL)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] File "/usr/lib64/python3.11/subprocess.py", line 413, in check_call
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] raise CalledProcessError(retcode, cmd)
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] torch._inductor.exc.InductorError: CalledProcessError: Command '['/usr/bin/gcc', '/tmp/tmpqxw0ckl9/cuda_utils.c', '-O3', '-shared', '-fPIC', '-Wno-psabi', '-o', '/tmp/tmpqxw0ckl9/cuda_utils.cpython-311-x86_64-linux-gnu.so', '-lcuda', '-L/home/coder/vllm-benchmarking/.venv/lib/python3.11/site-packages/triton/backends/nvidia/lib', '-L/lib64', '-L/lib', '-I/home/coder/vllm-benchmarking/.venv/lib/python3.11/site-packages/triton/backends/nvidia/include', '-I/tmp/tmpqxw0ckl9', '-I/usr/include/python3.11']' returned non-zero exit status 1.
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822]
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822] 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"
�[0;36m(Worker_TP3 pid=340106)�[0;0m ERROR 12-10 23:42:18 [multiproc_executor.py:822]
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