-
Notifications
You must be signed in to change notification settings - Fork 1.9k
Open
Labels
Description
Environment
- How did you deploy Kubeflow Pipelines (KFP)?
Excutedwhile ! kustomize build example | kubectl apply -f -; do echo "Retrying to apply resources"; sleep 10; done - KFP version:
Kubeflow AI reference platform 1.11.0: https://github.com/kubeflow/manifests/releases/tag/v1.11.0 - KFP SDK version:
Steps to reproduce
1、Executed while ! kustomize build example | kubectl apply -f -; do echo "Retrying to apply resources"; sleep 10; done
2、The below Kubeflow Pipelines (KFP) pods failed to be in running status, and the pod container logs show exec format error.
- cache-server-xxx
- metadata-envoy-deployment-xxx
- metadata-grpc-deployment-xxx
- metadata-writer-xxx
- ml-pipeline-xxx
- ml-pipeline-persistenceagent-xxx
- ml-pipeline-scheduledworkflow-xxx
- ml-pipeline-ui-xxx
- ml-pipeline-viewer-crd-xxx
- ml-pipeline-visualizationserver-xxx
- Tried to pull the images using command
docker pull --platform=linux/arm64 ghcr.io/kubeflow/kfp-xxx-xxx:xxx, but got the warning message as following.
WARNING: image with reference ghcr.io/kubeflow/kfp-viewer-crd-controller:2.15.0 was found but its platform (linux/amd64) does not match the specified platform (linux/arm64)
Expected result
The kfp-xxx-xxx images can also support the platform linux/arm64.
Materials and Reference
Impacted by this bug? Give it a 👍.