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Installing Kale on default Kubeflow Jupyter server image #418

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rustam-ashurov-mcx opened this issue May 24, 2022 · 1 comment
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@rustam-ashurov-mcx
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Hi mates, have a question, will try to organize it somehow:

  • We have Kubeflow 1.4.1 and use Jupiter notebook servers it has by default: https://www.kubeflow.org/docs/components/notebooks/container-images/
  • We decided to install Kale extension to help our ML devs with KFP sdk usage in notebooks
  • Jupyter server image that goes with Kubeflow v1.4.1 has version 3.0.14 by default. Kale is compatible with Jupyter 2.2>3.0, therefore it won't work there (correct me if I'm wrong)
  • I see that Kubeflow Jupyter images have {TAG} but the tag is not Jupyter version but Kubeflow version (for example: j1r0q0g6/notebooks/notebook-servers/jupyter-tensorflow-full:v1.4)

And now I'm not sure what is an easy way to install Kale. Is there a way to choose version of Jupyter server, or we need to take a base image (j1r0q0g6/notebooks/notebook-servers/base) and install Jupyter 2.0<3.0 there via custom docker image definition?
Maybe there are other easier options, like custom images known by the Kale community, or we are doing something wrong

@beratturan
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Hi mates, have a question, will try to organize it somehow:

  • We have Kubeflow 1.4.1 and use Jupiter notebook servers it has by default: https://www.kubeflow.org/docs/components/notebooks/container-images/
  • We decided to install Kale extension to help our ML devs with KFP sdk usage in notebooks
  • Jupyter server image that goes with Kubeflow v1.4.1 has version 3.0.14 by default. Kale is compatible with Jupyter 2.2>3.0, therefore it won't work there (correct me if I'm wrong)
  • I see that Kubeflow Jupyter images have {TAG} but the tag is not Jupyter version but Kubeflow version (for example: j1r0q0g6/notebooks/notebook-servers/jupyter-tensorflow-full:v1.4)

And now I'm not sure what is an easy way to install Kale. Is there a way to choose version of Jupyter server, or we need to take a base image (j1r0q0g6/notebooks/notebook-servers/base) and install Jupyter 2.0<3.0 there via custom docker image definition? Maybe there are other easier options, like custom images known by the Kale community, or we are doing something wrong

Hello,

Is there any update on this issue?

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