kubeflow / pipelines

Machine Learning Pipelines for Kubeflow
https://www.kubeflow.org/docs/components/pipelines/
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[backend] Sample pipeline (conditional-execution-pipeline) #6091

Closed Hmr-ramzi closed 6 months ago

Hmr-ramzi commented 3 years ago

What steps did you take

Deloy kubeflow 1.3 using kustomize. Create a kubeflow user. Create a default experiment. Create a run with default example conditional-excution-pipeline

What happened:

A pod was generated for the pipeline in the user namespace but remaining on state container Creating and failing with error:

Warning FailedMount 80s (x46 over 168m) kubelet Unable to attach or mount volumes: unmounted volumes=[docker-sock], unattached volumes=[podmeta │ │ ata docker-sock mlpipeline-minio-artifact default-editor-token-2jchv[]: timed out waiting for the condition

What did you expect to happen:

The pipeline was expected to start normally

Environment:

Labels

/area backend


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zijianjoy commented 3 years ago

@Hmr-ramzi What is the distribution you use to deploy your Kubeflow cluster? https://www.kubeflow.org/docs/started/installing-kubeflow/#install-a-packaged-kubeflow-distribution

stale[bot] commented 2 years ago

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

rimolive commented 6 months ago

Closing this issue. No activity for more than a year.

/close

google-oss-prow[bot] commented 6 months ago

@rimolive: Closing this issue.

In response to [this](https://github.com/kubeflow/pipelines/issues/6091#issuecomment-2035599312): >Closing this issue. No activity for more than a year. > >/close Instructions for interacting with me using PR comments are available [here](https://git.k8s.io/community/contributors/guide/pull-requests.md). If you have questions or suggestions related to my behavior, please file an issue against the [kubernetes/test-infra](https://github.com/kubernetes/test-infra/issues/new?title=Prow%20issue:) repository.