TFJob provides a Kubernetes custom resource that makes it easy to run distributed or non-distributed TensorFlow jobs on Kubernetes.

• For a complete reference of the custom resource definitions, please refer to the API Definition.
• For details on its design, please refer to the v1alpha2 design doc.
• For details on its obersibility, please refer to the monitoring design doc.

• Version >= 1.16 of Kubernetes

kubectl apply -f ./deploy/v1/tf-operator.yaml

Please refer to the quick-start-v1.md and Kubeflow user guide for more information.

Please refer to API Documentation

You can:

• Join our Slack channel.
• Check out who is using this operator.

This is a part of Kubeflow, so please see readme in kubeflow/kubeflow to get in touch with the community.

Please refer to the developer_guide

Please refer to CHANGELOG

The following table lists the most recent few versions of the operator.