用户调用多，出现bug，到2500后自动卡死

[stevensy123]

System Info / 系統信息

Ubuntu20.04 CUDA12.2.0

Running Xinference with Docker? / 是否使用 Docker 运行 Xinfernece？

• docker / docker
• pip install / 通过 pip install 安装
• installation from source / 从源码安装

Version info / 版本信息

0.13.0

The command used to start Xinference / 用以启动 xinference 的命令

官方docker启动命令

Reproduction / 复现过程

log文件中的内容
-06-26 01:57:22,996 xoscar.backends.core 1 WARNING Actor caller has created too many clienta (1750 >= 100), the global router may not be set.2024-06-26 02:00:53,354 xoscar.backends.core 1 WARNING Actor caller has created too many clients (1760 >= 100), the global router may not be set.
用户调用数量多后 就会出现此问题，Clients到2500，运行模型自动注销了，且没有释放显存。
是否是docker安装无法支持多用户调用，pip安装是否有此问题

Expected behavior / 期待表现

多用户情况下，正常使用

[stevensy123]

@qinxuye 请大神指点下

[codingl2k1]

有没有更多日志？

[stevensy123]

@codingl2k1 日志文件里没有其他的警告和报错 只是不断的输出上述内容 每增加10个client就增加一行 现在不清楚100的限制是在哪里添加的 如何可以修改100的限制还有2500，其实不影响使用

[masktone]

类似情况

[codingl2k1]

This InvalidStateError has been fixed by this PR: xorbitsai/xoscar#87 Are you using the latest xinference?

[stevensy123]

This InvalidStateError has been fixed by this PR: xorbitsai/xoscar#87 Are you using the latest xinference?
v0.13.0，This problem does not affect the use. Too many clients is the problem I want to solve

[michaelxu1107]

我用的0.10.3版本，日志里也经常看到类似于WARNING Actor caller has created too many clienta (1750 >= 100), the global router may not be set的告警日志，这是因为客户端请求完成后没有释放连接资源吗

[michaelxu1107]

我用的0.10.3版本，日志里也经常看到类似于WARNING Actor caller has created too many clienta (1750 >= 100), the global router may not be set的告警日志，这是因为客户端请求完成后没有释放连接资源吗

用户并发很低的

[qinxuye]

这个问题我们一直没法重现，你们 pip list 下提供下版本。以及什么模型，什么引擎提供下。

[michaelxu1107]

这个问题我们一直没法重现，你们 pip list 下提供下版本。以及什么模型，什么引擎提供下。

你好，我们这边使用的是python3.10.11版本，xinference使用的是0.10.3版本，模型使用的是Qwen1.5-32B-Chat，推理引擎使用的vllm，python依赖如下
accelerate==0.29.3
addict==2.4.0
aiobotocore==2.7.0
aiofiles==23.2.1
aiohttp==3.9.4
aioitertools==0.11.0
aioprometheus==23.12.0
aiosignal==1.3.1
aliyun-python-sdk-core==2.15.1
aliyun-python-sdk-kms==2.16.2
altair==5.3.0
annotated-types==0.6.0
anthropic==0.25.2
anyio==4.3.0
async-timeout==4.0.3
attrdict==2.0.1
attrs==23.2.0
auto_gptq==0.7.1
autoawq==0.2.3
autoawq_kernels==0.0.6
bcrypt==4.1.2
bitsandbytes==0.42.0
blessed==1.20.0
blinker==1.7.0
botocore==1.31.64
Brotli==1.1.0
certifi==2024.2.2
cffi==1.16.0
charset-normalizer==3.3.2
chatglm-cpp==0.3.1
click==8.1.7
cloudpickle==3.0.0
cmake==3.29.2
colorama==0.4.6
coloredlogs==15.0.1
ConfigArgParse==1.7
contourpy==1.2.1
controlnet-aux==0.0.7
crcmod==1.7
cryptography==42.0.5
cycler==0.12.1
Cython==3.0.10
dataclasses-json==0.6.4
datasets==2.19.0
diffusers==0.27.2
dill==0.3.8
diskcache==5.6.3
distro==1.9.0
ecdsa==0.19.0
einops==0.7.0
exceptiongroup==1.2.1
fastapi==0.110.2
ffmpy==0.3.2
filelock==3.13.4
FlagEmbedding==1.2.9
Flask==3.0.3
Flask-Cors==4.0.0
Flask-Login==0.6.3
fonttools==4.51.0
frozenlist==1.4.1
fsspec==2023.10.0
gast==0.5.4
gekko==1.1.1
gevent==24.2.1
geventhttpclient==2.2.0
gradio==4.26.0
gradio_client==0.15.1
greenlet==3.0.3
h11==0.14.0
httpcore==1.0.5
httptools==0.6.1
httpx==0.27.0
huggingface-hub==0.22.2
humanfriendly==10.0
idna==3.7
imageio==2.34.0
importlib_metadata==7.1.0
importlib_resources==6.4.0
iniconfig==2.0.0
interegular==0.3.3
itsdangerous==2.2.0
Jinja2==3.1.3
jmespath==0.10.0
joblib==1.4.0
jsonpatch==1.33
jsonpointer==2.4
jsonschema==4.21.1
jsonschema-specifications==2023.12.1
kiwisolver==1.4.5
langchain==0.1.16
langchain-community==0.0.34
langchain-core==0.1.45
langchain-text-splitters==0.0.1
langsmith==0.1.49
lark==1.1.9
lazy_loader==0.4
llama_cpp_python @ file:///home/aigc/iqas/llama_cpp_python-0.2.57-cp310-cp310-manylinux_2_17_x86_64.whl
llvmlite==0.42.0
locust==2.25.0
markdown-it-py==3.0.0
MarkupSafe==2.1.5
marshmallow==3.21.1
matplotlib==3.8.4
mdurl==0.1.2
modelscope==1.13.3
mpmath==1.3.0
msgpack==1.0.8
multidict==6.0.5
multiprocess==0.70.16
mypy-extensions==1.0.0
nest-asyncio==1.6.0
networkx==3.3
ninja==1.11.1.1
numba==0.59.1
numpy==1.26.4
nvidia-ml-py==12.550.52
nvidia-nccl-cu12==2.18.1
openai==1.17.1
opencv-contrib-python==4.9.0.80
opencv-python==4.9.0.80
optimum==1.19.0
orjson==3.10.1
oss2==2.18.4
outlines==0.0.34
packaging==23.2
pandas==2.2.2
passlib==1.7.4
peft==0.10.0
pillow==10.3.0
platformdirs==4.2.0
plumbum==1.8.2
prometheus_client==0.20.0
protobuf==5.26.1
psutil==5.9.8
py-cpuinfo==9.0.0
pyarrow==16.0.0
pyarrow-hotfix==0.6
pyasn1==0.6.0
pycparser==2.22
pycryptodome==3.20.0
pydantic==2.7.0
pydantic-settings==2.2.1
pydantic_core==2.18.1
pydub==0.25.1
Pygments==2.17.2
pynvml==11.5.0
pyparsing==3.1.2
python-dateutil==2.9.0.post0
python-dotenv==1.0.1
python-jose==3.3.0
python-multipart==0.0.9
pytz==2024.1
PyYAML==6.0.1
pyzmq==26.0.0
quantile-python==1.1
ray==2.11.0
referencing==0.34.0
regex==2024.4.16
requests==2.31.0
rich==13.7.1
rouge==1.0.1
roundrobin==0.0.4
rpds-py==0.18.0
rpyc==6.0.0
rsa==4.9
ruff==0.3.7
s3fs==2023.10.0
safetensors==0.4.3
scikit-image==0.23.1
scikit-learn==1.4.2
scipy==1.13.0
semantic-version==2.10.0
sentence-transformers==2.7.0
sentencepiece==0.2.0
sglang==0.1.14
shellingham==1.5.4
simplejson==3.19.2
six==1.16.0
sniffio==1.3.1
sortedcontainers==2.4.0
SQLAlchemy==2.0.29
sse-starlette==2.1.0
starlette==0.37.2
starlette-context==0.3.6
sympy==1.12
tabulate==0.9.0
tblib==3.0.0
tenacity==8.2.3
threadpoolctl==3.4.0
tifffile==2024.2.12
tiktoken==0.6.0
timm==0.9.16
tokenizers==0.15.2
tomli==2.0.1
tomlkit==0.12.0
toolz==0.12.1
torch @ file:///home/aigc/iqas/torch-2.1.2%2Bcu121-cp310-cp310-linux_x86_64.whl
torchvision @ file:///home/aigc/iqas/torchvision-0.16.2%2Bcu121-cp310-cp310-linux_x86_64.whl
tqdm==4.66.2
transformers==4.39.3
transformers-stream-generator==0.0.5
triton==2.1.0
typer==0.11.1
typing-inspect==0.9.0
typing_extensions==4.11.0
tzdata==2024.1
urllib3==2.0.7
uvicorn==0.29.0
uvloop==0.19.0
vllm==0.4.0.post1
watchfiles==0.21.0
wcwidth==0.2.13
websockets==11.0.3
Werkzeug==3.0.2
wrapt==1.16.0
xformers==0.0.23.post1
xinference==0.10.3
xoscar==0.3.0
xxhash==3.4.1
yapf==0.40.2
yarl==1.9.4
zipp==3.18.1
zmq==0.0.0
zope.event==5.0
zope.interface==6.3
zstandard==0.22.0

[TragedyN]

same issue