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If the operator were used to generate an openapi spec, and publish a python client, that may help interactive users invoke the distributed training CRD in an easier fashion.
The flow I imagine is something like:
pip install tf-k8s-operator
...
import tf.k8s.operator
operator.training.New(...params here...) #creates the CRD behind the scenes
If the operator were used to generate an openapi spec, and publish a python client, that may help interactive users invoke the distributed training CRD in an easier fashion.
The flow I imagine is something like:
cc/ @jlewi
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