(VllmWorkerProcess pid=693) ERROR 08-15 07:47:44 multiproc_worker_utils.py:226] Exception in worker VllmWorkerProcess while processing method initialize_cache: NCCL error: invalid usage (run with NCCL_DEBUG=WARN for details), Traceback (most recent call last): (VllmWorkerProcess pid=693)...
- name: NCCL_SOCKET_IFNAME value: "eth0" - name: VLLM_ENGINE_ITERATION_TIMEOUT_S value: "180" 6. 推理报错和ray假死 报错: vllm.engine.async_llm_engine.AsyncEngineDeadError: Background loop has errored already github issue: [Bug]: vllm.engine.async_llm_engine.AsyncEngineDeadError: Back...
nvidia-cuda-cupti-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-runtime-cu11, nvidia-cudnn-cu11, nvidia-cufft-cu11, nvidia-curand-cu11, nvidia-cusolver-cu11, nvidia-cusparse-cu11, nvidia-nccl-cu11, nvidia-nvtx-cu11, sympy, triton, typing-extensions ...
if self.device_config.device.type == "cuda": os.environ["TORCH_NCCL_AVOID_RECORD_STREAMS"] = "1" # This env var set by Ray causes exceptions with graph building. os.environ.pop("NCCL_ASYNC_ERROR_HANDLING", None) self.device = torch.device(f"cuda:{self.local_rank}") torch.cuda.se...
请注意,在 shell 中设置环境变量(如 NCCL_SOCKET_IFNAME=eth0 vllm serve …)只对同一节点的进程有效,对其他节点的进程无效。建议在创建群集时设置环境变量。有关详细信息,请参见问题 #6803。 请确保已将模型下载到所有节点(路径相同),或者模型已下载到所有节点都能访问的分布式文件系统中。 使用huggingface repo...
# This env var set by Ray causes exceptions with graph building.os.environ.pop('NCCL_ASYNC_ERROR_HANDLING', None)self.device = torch.device(f'cuda:{self.local_rank}')torch.cuda.set_device(self.device) _check_if_gpu_supports_dtype(self.model_config.dtype)torch.cuda.empty_cache()self.ini...
AI模型部署:Triton+vLLM部署大模型Qwen-Chat实践,Triton是NVIDIA推出的模型推理服务器,vLLM是伯克利大学推出的大模型推理引擎。一般而言,Triton主要负责
本文在对VLLM进行解析时只关注单卡情况,忽略基于ray做分布式推理的所有代码。 0x1. 运行流程梳理 先从使用VLLM调用opt-125M模型进行推理的脚本看起: 代码语言:javascript 代码运行次数:0 from vllmimportLLM,SamplingParams # Sample prompts.prompts=["Hello, my name is","The president of the United States...
vllm [Bug]: 推测性解码死亡：IndexError:索引0超出维度0的范围，大小为0也许你可以改变你的推测模型...
[Bug]: vllm.engine.async_llm_engine.AsyncEngineDeadError: 后台循环已经出错,RuntimeError: Triton...