[Bug]: EADDRINUSE (-98) error when setting up NCCL communicator #15987
Description
Your current environment
The output of `python collect_env.py`
INFO 04-02 23:52:28 [__init__.py:239] Automatically detected platform rocm.
Collecting environment information...
PyTorch version: 2.8.0.dev20250327+rocm6.3
Is debug build: False
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: 6.3.42131-fa1d09cbd
OS: SUSE Linux Enterprise Server 15 SP6 (x86_64)
GCC version: (SUSE Linux) 7.5.0
Clang version: Could not collect
CMake version: version 3.28.3
Libc version: glibc-2.38
Python version: 3.12.0 | packaged by Anaconda, Inc. | (main, Oct 2 2023, 17:29:18) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-6.4.0-150600.23.17_14.0.63-cray_shasta_c-x86_64-with-glibc2.38
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: AMD Instinct MI210 (gfx90a:sramecc+:xnack-)
Nvidia driver version: Could not collect
cuDNN version: Could not collect
HIP runtime version: 6.3.42131
MIOpen runtime version: 3.3.0
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 48 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 128
On-line CPU(s) list: 0-127
Vendor ID: AuthenticAMD
Model name: AMD EPYC 7763 64-Core Processor
CPU family: 25
Model: 1
Thread(s) per core: 2
Core(s) per socket: 64
Socket(s): 1
Stepping: 1
BogoMIPS: 4890.70
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 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy 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 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin brs arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload vgif v_spec_ctrl umip pku ospke vaes vpclmulqdq rdpid overflow_recov succor smca fsrm debug_swap
L1d cache: 2 MiB (64 instances)
L1i cache: 2 MiB (64 instances)
L2 cache: 32 MiB (64 instances)
L3 cache: 256 MiB (8 instances)
NUMA node(s): 4
NUMA node0 CPU(s): 0-15,64-79
NUMA node1 CPU(s): 16-31,80-95
NUMA node2 CPU(s): 32-47,96-111
NUMA node3 CPU(s): 48-63,112-127
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
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines; IBPB conditional; IBRS_FW; 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] numpy==2.1.2
[pip3] numpy==1.26.4
[pip3] pytorch-triton-rocm==3.3.0+git96316ce5
[pip3] pyzmq==26.2.1
[pip3] torch==2.8.0.dev20250327+rocm6.3
[pip3] torchaudio==2.6.0.dev20250331+rocm6.3
[pip3] torchvision==0.22.0.dev20250331+rocm6.3
[pip3] transformers==4.50.3
[pip3] triton==3.2.0
[conda] numpy 1.26.4 pypi_0 pypi
[conda] pytorch-triton-rocm 3.3.0+git96316ce5 pypi_0 pypi
[conda] pyzmq 26.2.1 pypi_0 pypi
[conda] torch 2.8.0.dev20250327+rocm6.3 pypi_0 pypi
[conda] torchaudio 2.6.0.dev20250331+rocm6.3 pypi_0 pypi
[conda] torchvision 0.22.0.dev20250331+rocm6.3 pypi_0 pypi
[conda] transformers 4.50.3 pypi_0 pypi
[conda] triton 3.2.0 pypi_0 pypi
ROCM Version: 6.3.42133-1b9c17779
Neuron SDK Version: N/A
vLLM Version: 0.8.3.dev151+ge6e3c55ef.d20250401
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
============================ ROCm System Management Interface ============================
================================ Weight between two GPUs =================================
GPU0
GPU0 0
================================= Hops between two GPUs ==================================
GPU0
GPU0 0
=============================== Link Type between two GPUs ===============================
GPU0
GPU0 0
======================================= Numa Nodes =======================================
GPU[0] : (Topology) Numa Node: 0
GPU[0] : (Topology) Numa Affinity: 0
================================== End of ROCm SMI Log ===================================
LD_LIBRARY_PATH=/opt/rocm-6.3.1/lib/roctracer:/opt/rocm-6.3.1/lib/rocprofiler:/opt/rocm-6.3.1/lib:/lib:/sw/frontier/spack-envs/cpe24.11-cpu/opt/cce-18.0.1/darshan-runtime-3.4.6-ymnx2jlqwdsmjgdiu6ldpyxmcenq2nks/lib:/opt/cray/pe/papi/7.1.0.4/lib64:/opt/cray/libfabric/1.22.0/lib64
NCCL_CUMEM_ENABLE=0
TORCHINDUCTOR_COMPILE_THREADS=1
CUDA_MODULE_LOADING=LAZY
🐛 Describe the bug
When launcing a node-local inference server using trl's vllm_serve, I often get EADDRINUSE errors coming from the NCCL communicator setup
ERROR: Exception in ASGI application
Traceback (most recent call last):
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/uvicorn-0.34.0-py3.12.egg/uvicorn/protocols/http/httptools_impl.py", line 409, in run
_asgi
result = await app( # type: ignore[func-returns-value]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/uvicorn-0.34.0-py3.12.egg/uvicorn/middleware/proxy_headers.py", line 60, in __call__
return await self.app(scope, receive, send)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/fastapi-0.115.8-py3.12.egg/fastapi/applications.py", line 1054, in __call__
await super().__call__(scope, receive, send)
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/applications.py", line 112, in __call__
await self.middleware_stack(scope, receive, send)
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/middleware/errors.py", line 187, in __call__
raise exc
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/middleware/errors.py", line 165, in __call__
await self.app(scope, receive, _send)
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/middleware/exceptions.py", line 62, in __call__
await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send)
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/routing.py", line 715, in __call__
await self.middleware_stack(scope, receive, send)
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/routing.py", line 735, in app
await route.handle(scope, receive, send)
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/routing.py", line 288, in handle
await self.app(scope, receive, send)
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/routing.py", line 76, in app
await wrap_app_handling_exceptions(app, request)(scope, receive, send)
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/_exception_handler.py", line 53, in wrapped_app
raise exc
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/_exception_handler.py", line 42, in wrapped_app
await app(scope, receive, sender)
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/routing.py", line 74, in app
await response(scope, receive, send)
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/responses.py", line 159, in __call__
await self.background()
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/background.py", line 41, in __call__
await task()
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/background.py", line 28, in __call__
await run_in_threadpool(self.func, *self.args, **self.kwargs)
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/starlette/concurrency.py", line 37, in run_in_threadpool
return await anyio.to_thread.run_sync(func)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/anyio/_backends/_asyncio.py", line 2461, in run_sync_in_worker_thread
return await future
^^^^^^^^^^^^
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/anyio/_backends/_asyncio.py", line 962, in run
result = context.run(func, *args)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/vllm/entrypoints/llm.py", line 496, in collective_rpc
return self.llm_engine.collective_rpc(method, timeout, args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/vllm/engine/llm_engine.py", line 2132, in collective_rpc
return self.model_executor.collective_rpc(method, timeout, args,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/vllm/executor/uniproc_executor.py", line 56, in collective_rpc
answer = run_method(self.driver_worker, method, args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/vllm/utils.py", line 2329, in run_method
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/trl/scripts/vllm_serve.py", line 111, in init_communicator
pg = StatelessProcessGroup.create(host=host, port=port, rank=rank, world_size=world_size)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/lustre/orion/stf006/world-shared/glaser/miniconda3/envs/grpo/lib/python3.12/site-packages/vllm/distributed/utils.py", line 236, in create
store = TCPStore(
^^^^^^^^^
torch.distributed.DistNetworkError: The server socket has failed to listen on any local network address. The server could not be initialized on any address for port=51216, family=10 The server socket has failed to bind to su-aliases.head-bmc.cm.frontier.olcf.ornl.gov:51216 (errno: 98 - Address already in use). The server could not be initialized on any address for port=51216, family=2
even though the server port is verifiably not in use by any other process on that node.
Launch command:
VLLM_PORT=29501 ROCR_VISIBLE_DEVICES=7 trl vllm-serve --model ${MODEL} --host=127.0.0.1
The suspected reason is the internal use of the 0.0.0.0 interface in torch's TCPStore to listen to incoming connections, which means it's listening on all network interfaces of each node, not just on the one associated with the host address provided.
vllm/vllm/distributed/utils.py
Lines 236 to 242 in 37bfee9
and
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