SS-556 allow flavors with gpu in jupyter labs

[hamzaimran08]

Description

This change relates to issue SS-556. Jupyter Labs are allowed to be allocated GPUs if the environment is configured to have GPUs.

Types of changes

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Checklist

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This is simply a reminder of what we are going to look for before merging your code.

• This pull request is against develop branch (not applicable for hotfixes)
• I have included a link to the issue on GitHub or JIRA (if any)
• I have included migration files (if there are changes to the model classes)
• I have included, reviewed and executed tests (unit and end2end) to complement my changes
• I have updated the related documentation (if necessary)
• I have added a reviewer for this pull request
• I have added myself as an author for this pull request
• In the case I have modified settings.py, then I have also updated the studio-settings-configmap.yaml file in serve-charts

Further comments

Anything else you think we should know before merging your code!

[churnikov]

Why make this restriction, when flavors can be created only by us?

[hamzaimran08]

Why make this restriction, when flavors can be created only by us?

Because the same Flavor can be used by different apps as well and then they will have GPUs allocated and we don't want that. Right now we only want to test with Jupyter Labs.

[alfredeen]

A few unit tests verifying creating a new gpu based flavor for JL notebooks and not being able to create for other app types would be helpful.