Timeout was reached
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- aws, kubernetes
- Domain
- cloud, infrastructure, machine-learning
Research direction
The issue names no repository file or test. Start with the Triton 22.06 container's S3 model-repository loading and the Kubernetes network path, using the curlCode 28 timeout as the symptom to investigate. Done means determining whether the timeout can be increased and identifying the required setting or limitation.
Written by the indexing model from the issue text.
Description
Description
A clear and concise description of what the bug is.
I need to use s3 and k8s to deploy the model. It may be the internal bandwidth problem of k8s. I am sure that I can access the s3 service, but I cannot download a larger model, and the error is reported: UNAVAILABLE: Internal: Failed to get object at s3:// trainingplatform/repo/common_business_model-base/1/model.graphdef due to exception: , error message: curlCode: 28, Timeout was reached.
Can I increase the timeout？
Triton Information
What version of Triton are you using?
22.06
Are you using the Triton container or did you build it yourself?
Triton container
To Reproduce
Steps to reproduce the behavior.
Describe the models (framework, inputs, outputs), ideally include the model configuration file (if using an ensemble include the model configuration file for that as well).
Expected behavior
A clear and concise description of what you expected to happen.
- Dominant language
- Python
- Stars
- 11k
- Forks
- 1.8k
- Avg merge
- 3d 5h
- Merged PRs (30d)
- 24
Contributor guide
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.
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