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Is there a way to work with vllm/vllm-openai docker image having a rtx 5090? Getting a lot of errors.
vllm_server | ERROR 04-15 02:01:15 [core.py:387] EngineCore hit an exception: Traceback (most recent call last):
vllm_server | ERROR 04-15 02:01:15 [core.py:387] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core.py", line 378, in run_engine_core
vllm_server | ERROR 04-15 02:01:15 [core.py:387] engine_core = EngineCoreProc(*args, **kwargs)
vllm_server | ERROR 04-15 02:01:15 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
vllm_server | ERROR 04-15 02:01:15 [core.py:387] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core.py", line 320, in __init__
vllm_server | ERROR 04-15 02:01:15 [core.py:387] super().__init__(vllm_config, executor_class, log_stats)
vllm_server | ERROR 04-15 02:01:15 [core.py:387] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core.py", line 67, in __init__
vllm_server | ERROR 04-15 02:01:15 [core.py:387] self.model_executor = executor_class(vllm_config)
vllm_server | ERROR 04-15 02:01:15 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^^^^^^^
vllm_server | ERROR 04-15 02:01:15 [core.py:387] File "/usr/local/lib/python3.12/dist-packages/vllm/executor/executor_base.py", line 52, in __init__
vllm_server | ERROR 04-15 02:01:15 [core.py:387] self._init_executor()
vllm_server | ERROR 04-15 02:01:15 [core.py:387] File "/usr/local/lib/python3.12/dist-packages/vllm/executor/uniproc_executor.py", line 46, in _init_executor
vllm_server | ERROR 04-15 02:01:15 [core.py:387] self.collective_rpc("init_device")
vllm_server | ERROR 04-15 02:01:15 [core.py:387] File "/usr/local/lib/python3.12/dist-packages/vllm/executor/uniproc_executor.py", line 56, in collective_rpc
vllm_server | ERROR 04-15 02:01:15 [core.py:387] answer = run_method(self.driver_worker, method, args, kwargs)
vllm_server | ERROR 04-15 02:01:15 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
vllm_server | ERROR 04-15 02:01:15 [core.py:387] File "/usr/local/lib/python3.12/dist-packages/vllm/utils.py", line 2378, in run_method
vllm_server | ERROR 04-15 02:01:15 [core.py:387] return func(*args, **kwargs)
vllm_server | ERROR 04-15 02:01:15 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^
vllm_server | ERROR 04-15 02:01:15 [core.py:387] File "/usr/local/lib/python3.12/dist-packages/vllm/worker/worker_base.py", line 604, in init_device
vllm_server | ERROR 04-15 02:01:15 [core.py:387] self.worker.init_device() # type: ignore
vllm_server | ERROR 04-15 02:01:15 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^^^^^
vllm_server | ERROR 04-15 02:01:15 [core.py:387] File "/usr/local/lib/python3.12/dist-packages/vllm/v1/worker/gpu_worker.py", line 103, in init_device
vllm_server | ERROR 04-15 02:01:15 [core.py:387] torch.cuda.set_device(self.device)
vllm_server | ERROR 04-15 02:01:15 [core.py:387] File "/usr/local/lib/python3.12/dist-packages/torch/cuda/__init__.py", line 476, in set_device
vllm_server | ERROR 04-15 02:01:15 [core.py:387] torch._C._cuda_setDevice(device)
vllm_server | ERROR 04-15 02:01:15 [core.py:387] File "/usr/local/lib/python3.12/dist-packages/torch/cuda/__init__.py", line 319, in _lazy_init
vllm_server | ERROR 04-15 02:01:15 [core.py:387] torch._C._cuda_init()
vllm_server | ERROR 04-15 02:01:15 [core.py:387] RuntimeError: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 500: named symbol not found
vllm_server | ERROR 04-15 02:01:15 [core.py:387]
vllm_server | CRITICAL 04-15 02:01:15 [core_client.py:359] Got fatal signal from worker processes, shutting down. See stack trace above for root cause issue.
vllm_server | Traceback (most recent call last):
vllm_server | File "<frozen runpy>", line 198, in _run_module_as_main
vllm_server | File "<frozen runpy>", line 88, in _run_code
vllm_server | File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 1121, in <module>
vllm_server | uvloop.run(run_server(args))
vllm_server | File "/usr/local/lib/python3.12/dist-packages/uvloop/__init__.py", line 109, in run
vllm_server | return __asyncio.run(
vllm_server | ^^^^^^^^^^^^^^
vllm_server | File "/usr/lib/python3.12/asyncio/runners.py", line 195, in run
vllm_server | return runner.run(main)
vllm_server | ^^^^^^^^^^^^^^^^
vllm_server | File "/usr/lib/python3.12/asyncio/runners.py", line 118, in run
vllm_server | return self._loop.run_until_complete(task)
vllm_server | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
vllm_server | File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
vllm_server | File "/usr/local/lib/python3.12/dist-packages/uvloop/__init__.py", line 61, in wrapper
vllm_server | return await main
vllm_server | ^^^^^^^^^^
vllm_server | File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 1069, in run_server
vllm_server | async with build_async_engine_client(args) as engine_client:
vllm_server | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
vllm_server | File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
vllm_server | return await anext(self.gen)
vllm_server | ^^^^^^^^^^^^^^^^^^^^^
vllm_server | File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 146, in build_async_engine_client
vllm_server | async with build_async_engine_client_from_engine_args(
vllm_server | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
vllm_server | File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
vllm_server | return await anext(self.gen)
vllm_server | ^^^^^^^^^^^^^^^^^^^^^
vllm_server | File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 178, in build_async_engine_client_from_engine_args
vllm_server | async_llm = AsyncLLM.from_vllm_config(
vllm_server | ^^^^^^^^^^^^^^^^^^^^^^^^^^
vllm_server | File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/async_llm.py", line 136, in from_vllm_config
vllm_server | return cls(
vllm_server | ^^^^
vllm_server | File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/async_llm.py", line 102, in __init__
vllm_server | self.engine_core = EngineCoreClient.make_client(
vllm_server | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
vllm_server | File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core_client.py", line 71, in make_client
vllm_server | return AsyncMPClient(vllm_config, executor_class, log_stats)
vllm_server | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
vllm_server | File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core_client.py", line 604, in __init__
vllm_server | super().__init__(
vllm_server | File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core_client.py", line 404, in __init__
vllm_server | self._wait_for_engine_startup()
vllm_server | File "/usr/local/lib/python3.12/dist-packages/vllm/v1/engine/core_client.py", line 426, in _wait_for_engine_startup
vllm_server | raise RuntimeError("Engine core initialization failed. "
vllm_server | RuntimeError: Engine core initialization failed. See root cause above.
How would you like to use vllm
I want to run the vllm/vllm-openai docker image with a rtx 5090.
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