OPENAI_API_SERVER) yield engine_client finally: if engine_client and hasattr(engine_client, "shutdown"): engine_client.shutdown() 这里engine_client是AsyncLLMEngine的handle. 可以通过await engine_client.add_reques()的
usage_context = UsageContext.OPENAI_API_SERVERvllm_config= engine_args.create_engine_config(usage_context=usage_context) # V1 AsyncLLM. # 根据v0/v1配置选择启用模式,如果是V1, 则直接使用 AsyncLLM 引擎,并在退出上下文时调用 async_llm.shutdown() 释放资源 if envs.VLLM_USE_V1: if disable_...
针对你遇到的vllm.engine.async_llm_engine.AsyncEngineDeadError: Background loop has errored already错误,以下是对该问题的详细分析和解决方案: 1. 错误信息含义 AsyncEngineDeadError是vllm引擎中的一个错误,表示异步引擎的后台循环已经出错。这通常意味着在后台处理请求的过程中发生了某些异常,导致引擎无法继续正常...
Your current environment Collecting environment information... /data/miniconda3_new/envs/vllm-new/lib/python3.10/site-packages/transformers/utils/hub.py:127: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in ...
all_outputs = await self._run_workers_async( ^^^ File "/server9/cbj/programming/anaconda3/envs/vllm_server/lib/python3.11/site-packages/vllm/engine/async_llm_engine.py", line 276, in _run_workers_async all_outputs = await asyncio.gather(*coros...
fastapi.middleware.corsimportCORSMiddlewarefromfastapi.responsesimportJSONResponse, Response, StreamingResponsefromprometheus_clientimportmake_asgi_appimportvllmfromvllm.engine.arg_utilsimportAsyncEngineArgsfromvllm.engine.async_llm_engineimportAsyncLLMEnginefromvllm.entrypoints.openai.cli_argsimportmake_arg_...
menu auto_awesome_motion View Active Events bobfromjapan·1y ago· 3,071 views arrow_drop_up5 Copy & Edit 37 more_vert Runtime play_arrow 1h 43m 0s · GPU T4 x2 Language Python
from vllm.engine.arg_utils import AsyncEngineArgs from vllm.engine.async_llm_engine import AsyncLLMEngine from vllm.entrypoints.openai.cli_args import make_arg_parser from vllm.entrypoints.openai.protocol import (ChatCompletionRequest, ChatCompletionResponse, ...
vllm_engine_config["model"] = os.path.join(pb_utils.get_model_dir(), vllm_engine_config["model"]) vllm_engine_config["tokenizer"] = os.path.join(pb_utils.get_model_dir(), vllm_engine_config["tokenizer"]) # Create an AsyncLLMEngine from the config from JSON ...
Engine始终处于loop状态。它会定期检查队列中是否有任何请求。如果是,则它执行engine_step,并且循环继续。如果不是,则它空闲地等待新请求的到达。代码位置:vllm/engine/async_llm_engine.py。 @staticmethodasyncdefrun_engine_loop(engine_ref:ReferenceType):engine:Optional[AsyncLLMEngine]=engine_ref()ifnotengine...