albert-cintas-pot/Deploy a Kubeflow Pipeline on GKE.
Compile, deploy and run a Kubeflow Pipeline on GKE.
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Inputs
| name | description | required | default |
|---|---|---|---|
| kubeflow_url | The endpoint where your Kubeflow UI is running. | yes | — |
| pipeline_file_path | The full path to pipeline.py file. This is provided by a Matrix by the Github Action. Pipelines must be stored inside the /pipelines folder. | yes | — |
| pipeline_description | Optional description of the pipeline. Can be used to override default value for instance for testing branches. | no | — |
| pipeline_name_string | Optional value to attach to the pipeline name. Can be used to override default value for testing purposes, like deploying a pipeline with a commit or pull_request string in the name. | no | — |
| client_id | The IAP client id, which was specified when the kubeflow deployment where setup using IAP. | yes | — |
| other_client_id | The other IAP client id, configured to be used for Desktop app authentication. | yes | — |
| other_client_secret | The other IAP client secret. | yes | — |
Outputs
| name | description |
|---|---|
| pipeline_name | The name of the pipeline submitted. |