[Bug] python -m lmdeploy.serve.proxy.proxy --server_name "xxx" --server_port xxx --strategy "min_expected_latency"

[zeroneway]

Checklist

• [ ] 1. I have searched related issues but cannot get the expected help.
• [ ] 2. The bug has not been fixed in the latest version.

Describe the bug

我用lmdeploy serve api_server 启动了4个api 服务，并用lmdeploy serve api_client {xxx} 分别测试没问题。 现在我想用python -m lmdeploy.serve.proxy.proxy --server_name "xxx" --server_port xxx --strategy "min_expected_latency"。命令来做负载均衡的时候，输出如下信息

INFO: Started server process [70073] INFO: Waiting for application startup. INFO: Application startup complete. ERROR: [Errno -2] Name or service not known INFO: Waiting for application shutdown. INFO: Application shutdown

我应该怎么处理这个错误呢？

Reproduction

python -m lmdeploy.serve.proxy.proxy --server_name "xxx" --server_port xxx --strategy "min_expected_latency"

Environment

lmdeploy check_env

sys.platform: linux
Python: 3.10.6 (main, Mar 10 2023, 10:55:28) [GCC 11.3.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0,1,2,3,4,5,6,7: NVIDIA A800-SXM4-80GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 12.1, V12.1.105
GCC: x86_64-linux-gnu-gcc (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
PyTorch: 2.0.0
PyTorch compiling details: PyTorch built with:
  - GCC 11.3
  - C++ Version: 201703
  - Intel(R) oneAPI Math Kernel Library Version 2021.1-Product Build 20201104 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v2.7.3 (Git Hash N/A)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 12.1
  - NVCC architecture flags: -gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_90,code=compute_90
  - CuDNN 8.9.1
  - Magma 2.6.2
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.9.1, CXX_COMPILER=/usr/bin/c++, CXX_FLAGS=-fno-gnu-unique -D_GLIBCXX_USE_CXX11_ABI=1 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.0.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 

TorchVision: 0.15.1
LMDeploy: 0.4.2+
transformers: 4.39.3
gradio: Not Found
fastapi: 0.111.0
pydantic: 2.7.4
triton: 2.2.0

Error traceback

No response

[AllentDan]

Please remove --server_name "xxx".