Closed GytisBraz closed 4 months ago
Hi @GytisBraz , this is a known issue and we're working on migrating google-cloud-pipeline-components
to be compatible with kfp 2.0.
any updates on this? Also will there be any breaking changes?
Interested a solution
Any updates? This incompatibility is impacting me quite badly as a new user. We adopted using GCPC in our pipelines because they are a great convenience and a important feature of the platform which locks us to KFP < 1.8.19. But now I am unable to save components to the Vertex Template or Artifact store as those seem to require KFP > 2.0.0
@xRagnorokx Ive been using google-cloud-components==2.0.0b1 and it seems to be working ok
But these can be yanked or updated at any time right? So I have to use both a unstable version of KFP and a unstable version of GCPC in production to make use of Vertex's full feature suite?
@xRagnorokx yes - unfortunately, from what I can tell
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
Closing this issue. No activity for a year.
/close
@rimolive: Closing this issue.
Environment
2.0.0b1
Steps to reproduce
pip3 install kfp==2.0.0b1
followed by
pip3 install google-cloud-pipeline-components
Expected result
I expect both packages to be compatible.
google-cloud-pipeline-components
is an SDK for interacting with Vertex AI, andkfp>=2.0.0b1
is the version that is suggested/needed to work with Vertex AI - link hereThe issue seems to stems from this line
Impacted by this bug? Give it a 👍.