Status Update
Comments
se...@google.com <se...@google.com> #2
Hello,
Thank you for reaching out.
This issue was forwarded to our product team. Please keep in mind that this issue has to be analyzed and considered by the product team and I can't provide you ETA for it to be delivered. However, you can keep track of the status by following this thread.
Kind Regards
li...@ml6.eu <li...@ml6.eu> #3
se...@google.com <se...@google.com> #4
Hello,
Thank you for your patience.
Our product team is currently working on it. Once there will be an update it will be shared in this thread.
Kind Regards
se...@google.com <se...@google.com>
er...@spacewell.com <er...@spacewell.com> #5
sj...@google.com <sj...@google.com> #6
Hello,
Thank you for reaching out. Our internal team is handling the case. Unfortunately there are no updates about it. For now, please stay tune to this thread for updates.
Regards,
sj...@google.com <sj...@google.com> #7
Hello,
Quick update about this. Our team mentions that for Vertex Pipelines, we have a different set of placeholders, the currently implemented ones are names
and uuids
. Here's an example of using them:
Let me know if this helps you with your case.
Regards,
sj...@google.com <sj...@google.com> #8
Hello
Quick update, this has been delayed. Please stay tune for further for updates.
Regards
[Deleted User] <[Deleted User]> #9
sj...@google.com <sj...@google.com> #10
Hello
Thank you for providing the workaround, I will forward that to the google team. Please stay tune to this thread for updates.
Regards,
Description
This will create a public issue which anybody can view and comment on.
Please provide as much information as possible. At least, this should include a description of your issue and steps to reproduce the problem. If possible please provide a summary of what steps or workarounds you have already tried, and any docs or articles you found (un)helpful.
Problem you have encountered:
Hi,
Trying to implement a Kubeflow Pipeline with Vertex AI, I found that the workflow.uid doesn't seem to resolve properly.
Previously in kubeflow, we could use the
dsl.RUN_ID_PLACEHOLDER
, which resolves to{{workflow.uid}}
at compile time, and then to therun ID
at run time.However in my tests it seems that while
dsl.RUN_ID_PLACEHOLDER
resolves at compile time to{{workflow.uid}}
, this does not subsequently resolve to therun ID
at run time.Is this not supported by Vertex Pipelines? I couldn't see anything in the documentation about this kubeflow feature not being compatible with Vertex AI.
What you expected to happen:
How to Access the Run ID using the KFP SDK with Vertex AI Pipelines