[Bug]: vllm v0.6.0 profiler report GPUExecutorAsync object has no attribute '_run_workers' on ROCm and NV H20 #8351
Description
Your current environment
The output of `python collect_env.py` on ROCm
Collecting environment information... WARNING 09-11 03:28:33 rocm.py:17] `fork` method is not supported by ROCm. VLLM_WORKER_MULTIPROC_METHOD is overridden to `spawn` instead. PyTorch version: 2.4.0+rocm6.2.1 Is debug build: False CUDA used to build PyTorch: N/A ROCM used to build PyTorch: 6.2.41133-dd7f95766OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.2.0 24292 26466ce804ac523b398608f17388eb6d605a3f09)
CMake version: version 3.27.3
Libc version: glibc-2.35
Python version: 3.9.19 (main, May 6 2024, 19:43:03) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-119-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: AMD Instinct MI300X (gfx942:sramecc+:xnack-)
Nvidia driver version: Could not collect
cuDNN version: Could not collect
HIP runtime version: 6.2.41133
MIOpen runtime version: 3.2.0
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 52 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 256
On-line CPU(s) list: 0-255
Vendor ID: AuthenticAMD
Model name: AMD EPYC 9534 64-Core Processor
CPU family: 25
Model: 17
Thread(s) per core: 2
Core(s) per socket: 64
Socket(s): 2
Stepping: 1
Frequency boost: enabled
CPU max MHz: 3718.0659
CPU min MHz: 1500.0000
BogoMIPS: 4899.98
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 invpcid_single hw_pstate ssbd mba ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d
Virtualization: AMD-V
L1d cache: 4 MiB (128 instances)
L1i cache: 4 MiB (128 instances)
L2 cache: 128 MiB (128 instances)
L3 cache: 512 MiB (16 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-63,128-191
NUMA node1 CPU(s): 64-127,192-255
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: Mitigation; safe RET
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 conditional; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] mypy==1.7.0
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.26.4
[pip3] optree==0.9.1
[pip3] pytorch-triton-rocm==3.0.0+rocm6.2.1.b7accf9f07
[pip3] pyzmq==26.2.0
[pip3] torch==2.4.0+rocm6.2.1
[pip3] torchvision==0.19.0+rocm6.2.1
[pip3] transformers==4.44.2
[pip3] triton==3.0.0
[pip3] zmq==0.0.0
[conda] No relevant packages
ROCM Version: 6.2.41133-dd7f95766
Neuron SDK Version: N/A
vLLM Version: 0.6.0@803251987b3530bcb6ebb9bd13858389dc1b0a2d
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
Could not collect
Your output of `python collect_env.py` here
The output of `python collect_env.py` on ROCm
Your output of `python collect_env.py` here
🐛 Describe the bug
To profile LLM, I tried run command VLLM_TORCH_PROFILER_DIR=/vllm-workspace/vllm/traces/ python -m vllm.entrypoints.openai.api_server --model /path/to/NousResearch-Llama-3.1-8B under vllm v0.6.0 root dir on both AMD GPU and NV GPU. Both of them reported below error:
INFO 09-11 02:31:38 api_server.py:333] Starting profiler...
INFO: 127.0.0.1:52216 - "POST /start_profile HTTP/1.1" 500 Internal Server Error
ERROR: Exception in ASGI application
Traceback (most recent call last):
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/uvicorn/protocols/http/httptools_impl.py", line 401, in run_asgi
result = await app( # type: ignore[func-returns-value]
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/uvicorn/middleware/proxy_headers.py", line 70, in __call__
return await self.app(scope, receive, send)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastapi/applications.py", line 1054, in __call__
await super().__call__(scope, receive, send)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/applications.py", line 123, in __call__
await self.middleware_stack(scope, receive, send)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/middleware/errors.py", line 186, in __call__
raise exc
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/middleware/errors.py", line 164, in __call__
await self.app(scope, receive, _send)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/middleware/cors.py", line 85, in __call__
await self.app(scope, receive, send)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/middleware/exceptions.py", line 65, in __call__
await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
raise exc
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
await app(scope, receive, sender)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/routing.py", line 754, in __call__
await self.middleware_stack(scope, receive, send)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/routing.py", line 774, in app
await route.handle(scope, receive, send)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/routing.py", line 295, in handle
await self.app(scope, receive, send)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/routing.py", line 77, in app
await wrap_app_handling_exceptions(app, request)(scope, receive, send)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/_exception_handler.py", line 64, in wrapped_app
raise exc
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
await app(scope, receive, sender)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/starlette/routing.py", line 74, in app
response = await f(request)
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastapi/routing.py", line 297, in app
raw_response = await run_endpoint_function(
File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/fastapi/routing.py", line 210, in run_endpoint_function
return await dependant.call(**values)
File "/root/vllm/vllm/entrypoints/openai/api_server.py", line 334, in start_profile
await async_engine_client.start_profile()
File "/root/vllm/vllm/engine/async_llm_engine.py", line 1280, in start_profile
self.engine.model_executor._run_workers("start_profile")
AttributeError: 'GPUExecutorAsync' object has no attribute '_run_workers'
I find a similar issue #8326 , but his report is not same as me.
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