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Change timeout for long-term experiments #1058
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/lifecycle frozen |
I'm curious why no one has brought up this issue? The hardcoded 60 second timeout is problematic for me as there is no way to use Bayesian Optimization properly because at around 100 trials, the suggestion takes longer than 60 seconds to compute for me. |
Let's move the discussion forward.
I agree with @andreyvelich. |
Yes. Lets target to add this in the katib-config |
Any update on this? |
Hi @LuukvandenBent, not yet, but contributions are always welcome! /remove-lifecycle frozen |
@andreyvelich: Please ensure the request meets the requirements listed here. If this request no longer meets these requirements, the label can be removed In response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository. |
The problem is happening here right?: https://github.com/kubeflow/katib/blob/master/sdk/python/v1beta1/kubeflow/katib/api/katib_client.py#L1231 |
That's right. |
/kind feature
Users can run long-term Experiment where Suggestion needs to analyse information from more than 200-300 Trials.
In that situation, some Suggestion needs more time than 1 minute to generate new Trial set.
We specify the timeout of
GetSuggestion
request here: https://github.com/kubeflow/katib/blob/master/pkg/controller.v1alpha3/suggestion/suggestionclient/suggestionclient.go#L26.We can provide functionality to change this information from
katib-config
if it necessary.Ref: #1052.
What do you think @gaocegege @hougangliu @johnugeorge @richardsliu ?
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