在API Server启动过程中,会调用build_async_engine_client方法创建EngineCore客户端,即AsyncLLM,用于与EngineCore通信(V1将Engine的调度器和模型执行器核心功能拆分出来,也就是EngineCore,EngineCore独立执行循环),进程间通过ZeroMQ通信; async with build_async_e
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()的方式与AsyncLLMEngine交互。 AsyncLLMEngine实际上是: # vllm/v1/engine/async_llm...
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...
* fix: use vllm AsyncLLMEngine to bring true stream Current vLLM implementation uses the LLMEngine, which was designed for offline batch inference, which results in the streaming mode outputing all blobs at once at the end of the inference. This PR reworks the gRPC server to use asyncio ...
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 ...
fastapi.middleware.corsimportCORSMiddlewarefromfastapi.responsesimportJSONResponse, Response, StreamingResponsefromprometheus_clientimportmake_asgi_appimportvllmfromvllm.engine.arg_utilsimportAsyncEngineArgsfromvllm.engine.async_llm_engineimportAsyncLLMEnginefromvllm.entrypoints.openai.cli_argsimportmake_arg_...
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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["tokenizer"] = os.path.join(pb_utils.get_model_dir(), vllm_engine_config["tokenizer"]) # Create an AsyncLLMEngine from the config from JSON # TODO 读取模型和分词器 self.llm_engine = AsyncLLMEngine.from_engine_args(AsyncEngineArgs(**vllm_engine_config)) ...
Lancer:大模型推理框架-vLLM V1源码2之AsyncLLM 整体架构如下: 代码基于vLLM 0.8.3 分支。 AsyncLLM初始化时创建后台进程EngineCore,该进程执行run_engine_core;run_engine_core是EngineCoreProc类的一个静态方法,用于在后台进程中启动EngineCore。它负责初始化引擎核心的运行环境、设置信号处理器以支持优雅终止,启动...