-
Notifications
You must be signed in to change notification settings - Fork 443
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[SDK] Use Katib Client without Kube Config #2098
Conversation
else: | ||
config.load_incluster_config() | ||
self.in_cluster = True | ||
self.in_cluster = False |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Do we need a var, in_cluster
?
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
@tenzen-y Currently, we use it when Katib is deployed as part of Kubeflow Central Dashboard: https://github.com/kubeflow/katib/blob/master/sdk/python/v1beta1/kubeflow/katib/api/katib_client.py#L112-L124.
Although, it can generate incorrect links when user relies on load_incluster_config()
and doesn't run it from Kubeflow Notebooks.
We will discuss about it in the future.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I see.
Thanks for clarifying! Could you create an issue to keep tracking this?
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Sure, let's track this.
Thanks! |
b76715d
to
23bfee5
Compare
/lgtm |
/lgtm |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: andreyvelich, johnugeorge The full list of commands accepted by this bot can be found here. The pull request process is described here
Needs approval from an approver in each of these files:
Approvers can indicate their approval by writing |
/hold cancel |
Use the same logic as for the SDK Training Client: kubeflow/training-operator#1740.
/assign @gaocegege @johnugeorge @tenzen-y