michaelfeil / michaelfeil/infinity
When the inference process encounters an out-of-memory (OOM) error, can the service automatically recover？
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- Dominant language
- Python
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Description
Feature request
infinity version: 0.0.75
I noticed that when a GPU OOM occurs, the service hangs and new requests cannot be executed. Could you provide a mechanism for the service to automatically recover from GPU OOM or other exceptions, such as by restarting the service? This feature is important for long-running online services.
The log information below is from a simulated out-of-memory (OOM) situation, causing the service to hang.
Motivation
This feature is important for long-running online services.
Your contribution
Currently, there isn't any.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the attached infinity.log and the inference service's handling of simulated GPU OOM and other exceptions. Done means the service recovers automatically and accepts new requests after an OOM without hanging.
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Assessment
- Tech stack
- python
- Domain
- backend, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100