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TF Operator

Last updated: 2022-10-12 11:37:14

    Overview

    Developed by the Kubeflow community, TF-Operator is an add-on used to help deploy and execute TensorFlow distributed training jobs in a Kubernetes cluster.

    After deployment, you can create, view, and delete TF jobs.

    Prerequisite dependencies

    Kubernetes cluster (v1.16 or later)

    Deployment

    During Helm deployment, all configuration items are included in values.yaml.

    Some fields may need to be customized, as listed below:

    Parameter Description Default Value
    image.repository The repository where the TF-Operator image resides ccr.ccs.tencentyun.com/kubeflow-oteam/tf-operator
    image.tag TF-Operator image version "latest"
    namespace.create Whether to create a separate namespace for TF-Operator true
    namespace.name The namespace where TF-Operator is to be deployed "tf-operator"

    Best practices

    See Running TF Training Job.

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