# Initialize worker worker = worker_factory() del worker_factory //每worker生成独立实例。--生成executor._create_worker实例 # Accept tasks from the engine in task_queue # and return task output in result_queue logger.info("Worker ready; awaiting tasks") try: //LOOP接收task消息。 for items ...
(VllmWorkerProcess pid=3615391) INFO 08-06 18:38:35 multiproc_worker_utils.py:215] Worker ready; awaiting tasks DEBUG 08-06 18:38:35 parallel_state.py:803] world_size=2 rank=0 local_rank=0 distributed_init_method=tcp://127.0.0.1:34389 backend=nccl (VllmWorkerProcess pid=3615391) DEB...
(VllmWorkerProcess pid=3283517) INFO 07-04 23:20:16 multiproc_worker_utils.py:215] Worker ready;awaiting tasks (VllmWorkerProcess pid=3283516) INFO 07-04 23:20:19 multiproc_worker_utils.py:215] Worker ready;awaiting tasks (VllmWorkerProcess pid=3283518) INFO 07-04 23:20:19 multiproc_...
="--worker"];then echo "Error: Node type must be --head or --worker" exit 1fi# Define a function to cleanup on EXIT signalcleanup(){ docker stop node docker rm node}trap cleanup EXIT# Command setup for head or worker nodeRAY_START_CMD="ray start --block"if["${NODE_...
vLLM 的分布式策略:理解 vLLM 主要依赖 Ray 实现分布式。Ray 的 head node 和 worker node 概念是核心。Head node 负责协调,worker node 执行计算。 网络拓扑:多节点部署对节点间网络延迟和带宽高度敏感。NCCL 和 Gloo 等通信库依赖高效的网络。确保节点间,尤其是 GPU 间,有低延迟、高带宽的连接(如 InfiniBand...
vllm [用法]:8xH100设备无法运行meta-llama/Meta-Llama-3.1-405B-Instruct-FP8,Set--max-model-len...
vllm [用法]:8xH100设备无法运行meta-llama/Meta-Llama-3.1-405B-Instruct-FP8,Set--max-model-len...
(VllmWorkerProcess pid=2801) INFO 04-10 09:19:30 [multiproc_worker_utils.py:225] Worker ready; awaiting tasks (VllmWorkerProcess pid=2801) INFO 04-10 09:19:30 [cuda.py:291] Using Flash Attention backend. INFO 04-10 09:19:31 [utils.py:931] Found nccl from library libnccl.so.2...
(VllmWorkerProcess pid=18643) INFO 09-13 00:13:29 multiproc_worker_utils.py:215] Worker ready; awaiting tasks INFO 09-13 00:13:29 utils.py:977] Found nccl from library libnccl.so.2 (VllmWorkerProcess pid=18643) INFO 09-13 00:13:29 utils.py:977] Found nccl from library libnccl...
(VllmWorkerProcess pid=29) INFO 11-20 06:32:43 multiproc_worker_utils.py:215] Worker ready; awaiting tasks (VllmWorkerProcess pid=29) DEBUG 11-20 06:32:43 parallel_state.py:983] world_size=1 rank=0 local_rank=-1 distributed_init_method=tcp://127.0.0.1:35451 backend=gloo (Vllm...