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Pipeline deploy component does not support local model #726

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jinchihe opened this issue Jan 23, 2019 · 4 comments · Fixed by #755
Closed

Pipeline deploy component does not support local model #726

jinchihe opened this issue Jan 23, 2019 · 4 comments · Fixed by #755
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@jinchihe

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@jinchihe
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While I executed kubeflow Pipeline E2E TFX sample on local cluster, I found the TF-Serving cannot be started normally, checked details, that's caused by Pipeline deploy component does not support local model, so that the trained mode cannot be found after deployment pod started.

In the kubeflow section Serve a local model using Tensorflow Serving, kubeflow support nfs pvc mode for trained mode storage, pipeline should also support that.
@jinchihe jinchihe mentioned this issue Jan 23, 2019
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@jinchihe
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Created a PR for this, the enhancement will be useful for #721 . Thanks.

@jinchihe jinchihe mentioned this issue Jan 31, 2019
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@paveldournov
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@jinchihe thanks!

@gaoning777 please take a look at the PR

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Merged

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jinchihe commented Feb 9, 2019

Thanks @gaoning777

Linchin pushed a commit to Linchin/pipelines that referenced this issue Apr 11, 2023
@jlewi
Start auto-deploying the GCP blueprints v1.1 branch (kubeflow#726)
bb026ce 
Related to: GoogleCloudPlatform/kubeflow-distribution#46
Related to: GoogleCloudPlatform/kubeflow-distribution#77
magdalenakuhn17 pushed a commit to magdalenakuhn17/pipelines that referenced this issue Oct 22, 2023
@yuzliu
Support https (kubeflow#726)
90defba 
* set port 80 for inference virtualservice destination.

* add manager_auth_proxy_patch.yaml in development overlay as we need to pull kube-rbac-proxy image from an internal docker hub
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@gaoning777 @paveldournov @jinchihe