Comments (9)
@andreyvelich can we please link to this #2314 in the first comment
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Generally, lgtm. Maybe we have additional refactoring and cleanup, but putting cleanups on the roadmap wouldn't be better.
@kubeflow/wg-automl-leads I would suggest supporting Kubernetes v1.27-v1.29
since the release candidate day is July.
Kubernetes v1.26 will be deprecated on 2024-02-28, and Kubernetes v1.30 will be released on 2024-04-17.
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I agree with the Kubernetes versions, let's continue discussion about it in the Training Operator issue.
Maybe we have additional refactoring and clean
I think, that should fine, it's always good to add refactoring in the release. @tenzen-y Any suggestions what we can improve?
from katib.
I agree with the Kubernetes versions, let's continue discussion about it in the Training Operator issue.
Maybe we have additional refactoring and clean
I think, that should fine, it's always good to add refactoring in the release. @tenzen-y Any suggestions what we can improve?
I'm wondering if we should work on #2141 since this issue is causing some dependency issues...
Although, I'm not sure if I can prepare enough time for the issue.
from katib.
That's good call-out, @tenzen-y, let me add it.
We could ask for volunteers from the community to work on this.
from katib.
That's good call-out, @tenzen-y, let me add it. We could ask for volunteers from the community to work on this.
Thank you!
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Hello @kubeflow/wg-automl-leads, this is a kind reminder that Monday, March 4th will be our Kubeflow 1.9 release development checkpoint, we will be halfway through our dev cycle, and we expect most of the work to be well underway (reminder: code freeze is scheduled for Apr 15th)
Can you please acknowledge your status with respect to your roadmap, comment on the progress made so far, and provide an assessment of the work that remains?
(understandably) Not everything may be completed in time. Please proactively let the release team know if there are delays, blockers, or uncertain situations, know so that we can align expectations and try and help you out, if possible.
from katib.
Is there anything missing to cut the release? We want to start the manifests sync for training-operator for Kubeflow 1.9.0-rc0
from katib.
For Katib, I would love to get this merged to fix our UI CI/CD: #2313.
@orfeas-k @kimwnasptd @elenzio9 @apo-ger Do you think we can get this resolved today ?
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Related Issues (20)
- Update experiment instance status failed: the object has been modified HOT 2
- Update the kubernetes object's status with server-side apply
- Trial fails to be marked as completed after reporting the metrics
- Deprecate Skopt Suggestion Service HOT 21
- Define the Python deprecation/supporting policies for the Katib SDK HOT 3
- Whether the hyperparameter search algorithm will refer to the value of additionalMetricNames HOT 11
- Tuning API in Katib for LLMs HOT 4
- Migrate KatibCertGenerator to OPA CertController
- Migrate away from deprecated github.com/hpcloud/tail
- [image] enas-cnn-cifar10-cpu:v0.16.0 does not exist
- feat(rag): Auto-RAG HOT 6
- Return validation errors after all fields are verified HOT 3
- some questions about NAS HOT 3
- Documentation Improvements for Katib 0.17 HOT 2
- Update third party worflows in the gh actions. HOT 2
- [SDK] Support Docker image as objective in the `tune` API HOT 5
- katib use crd as tail template HOT 8
- Tracking Issue: Implementation of Tuning API in Katib for LLMs HOT 1
- [GSoC] Project6: Push-based Metrics Collection for Katib HOT 1
- Issue template "Kubeflow Katib Slack Channel" doesn't prompt you to register/get invited HOT 4
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