Closed rafalbigaj closed 4 years ago
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Thanks @rafalbigaj, we will take a look and see can we do some workaround with the alpha conditional API. If not, we will prompt an error in the SDK for now and try to address it in the beta conditional API during the next major release.
FYI @ckadner @drewbutlerbb4 Since the alpha tekton condition is not a regular task (also it's an older api), it's not possible to refer it as a dependencies such as .after(conditions) or condition.results. So let's see is there any workaround we can do on the compiler side.
This feature is supported in the master branch now.
/close
@Tomcli: Closing this issue.
/kind bug
What steps did you take and what happened:
The successfully compiled tekton YAML: train_and_validate_in_notebook_pipeline.py.tar.gz
from source: https://github.ibm.com/AILifecycle/ai-kubeflow-pipelines/blob/new-components/pipelines/train_and_validate_in_notebook_pipeline.py#L135
fails, when trying to create a run with error:
What did you expect to happen:
The same DSL code compiled to Argo YAML can be run without any issues.
Additional information: N/A
Environment:
python --version
): 3.7tkn version
):kubectl version
):/etc/os-release
):