Comments (1)
@kthui @Tabrizian Any idea if this is an intended behaviour ? I want to make sure that unhealthy processes are restarted correctly , but playing with kill
it seems that they're not.
When kill -9
: The process is killed and never restarts on new requests. The killed process tries to execute the jobs but remains hanging after this log :
I0620 11:06:12.646654 1013474 python_be.cc:1395] "model large_3, instance large_3_0_0, executing 1 requests"
When kill -11
: The process is killed, and try to restart after end of next request, resulting sometimes segfault and Triton server crashing with error code 137 and Signal 11 received. The other behaviour that can happen when sending this signal is the same as the -9
: executing one request and hanging on forever.
from server.
Related Issues (20)
- Triton server crash when running a large model with an ONNX/CPU backend HOT 1
- could you give some examples about ragged input config for tensorrt backend HOT 4
- Large latency when use `tritonclient.http.aio.infer` HOT 1
- tritonserver log problem
- The trt llm container does not have the other backends HOT 6
- Triton/vllm_backend launches model on incorrect GPU
- Add torch.set_float32_matmul_precision settting in Libtorch backend
- Question about the `get_response()` function in the Python API's HTTP/REST Client
- Triton ensemble not working as expected to support reshape HOT 1
- nvcr.io: i/o timeout - error 401 HOT 1
- How to use pb_utils in python backend to receive data from cudashm?
- why is only 1st 'batch' inferred?
- How does the stateful model maintain state among multiple pods?
- Minimal Custom Backend Example Not Working
- Model 'tensorrt_llm' loading failed with error: key 'use_context_fmha_for_generation' not found HOT 1
- Dynamic batching with OpenVINO backend
- In BLS mode, does the data go to the CPU HOT 2
- Handling Unsupported Input and Ensuring GPU Processing in Triton Inference Server HOT 1
- Using output of a model as input for multiple other models in ensemble give unclear error HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from server.