SDK - Added kfp.run_pipeline_func_on_cluster function (alias) #1521
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This commit adds alias to the kfp.Client.create_run_from_pipeline_func method as the root kfp.run_pipeline_func_on_cluster function. In future more runners can be added (local, etc).
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@gaoning777 Can you please take a look? |
ajchili
reviewed
Aug 29, 2019
| from . import Client | ||
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| def run_pipeline_func_on_cluster(pipeline_func: Callable, arguments: Mapping[str, str], run_name : str = None, experiment_name : str = None, kfp_client : Client = None): |
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Extra whitespace after variable names. Otherwise lgtm.
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/lgtm |
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/approve |
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: Ark-kun The full list of commands accepted by this bot can be found here. The pull request process is described here
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/retest |
2 similar comments
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/retest |
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/retest |
magdalenakuhn17
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Oct 22, 2023
* Update s3 docs * Update output * Update s3 region annotation
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This commit adds alias to the
kfp.Client.create_run_from_pipeline_funcmethod as the rootkfp.run_pipeline_func_on_clusterfunction.In future more runners can be added (local, etc).
Currently the running the pipeline operation is performed using the API server client concept. I want to add a way to run a pipeline without thinking of server API clients. This way all runners can be grouped in the same place. Also, this way, the compilation options do not creep into the
kfp.Clientclass.This change is