tf-operator

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v1.3.0 Latest Latest
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Published: Oct 3, 2021 License: Apache-2.0

README

Kubeflow Training Operator

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Overview

Before v1.2 release, tensorflow-operator can only support TFJob on Kubernetes. Starting from v1.3, Training Operator provides Kubernetes custom resources that makes it easy to run distributed or non-distributed TensorFlow/PyTorch/MXNet/XGBoost jobs on Kubernetes.

Prerequisites

  • Version >= 1.16 of Kubernetes
  • Version >= 3.x of Kustomize
  • Version >= 1.21.x of Kubectl

Installation

Master Branch
kubectl apply -k "github.com/kubeflow/tf-operator.git/manifests/overlays/standalone?ref=master"
Specific Release
kubectl apply -k "github.com/kubeflow/tf-operator.git/manifests/overlays/standalone?ref=v1.3.0"
Tensorflow Release Only

For users who prefer to use original tensorflow controllers, please checkout v1.2-branch, we will maintain the bug fix in this branch.

kubectl apply -k "github.com/kubeflow/tf-operator.git/manifests/overlays/standalone?ref=v1.2.0"

Quick Start

Please refer to the quick-start-v1.md and Kubeflow Training User Guide for more information.

API Documentation

Please refer to API Documentation.

Community

You can:

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

Contributing

Please refer to the DEVELOPMENT

Change Log

Please refer to CHANGELOG

Version Matrix

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

Operator Version API Version Kubernetes Version
v1.0.x v1 1.16+
v1.1.x v1 1.16+
v1.2.x v1 1.16+
v1.3.x v1 1.18+
latest (master HEAD) v1 1.18+

Directories

Path Synopsis
cmd
hack
pkg
apis/mxnet/v1
Package v1 is the v1 version of the API.
Package v1 is the v1 version of the API.
apis/pytorch/v1
Package v1 is the v1 version of the API.
Package v1 is the v1 version of the API.
apis/tensorflow/v1
Package v1 is the v1 version of the API.
Package v1 is the v1 version of the API.
apis/xgboost/v1
Package v1 is the v1 version of the API.
Package v1 is the v1 version of the API.
client/clientset/versioned
This package has the automatically generated clientset.
This package has the automatically generated clientset.
client/clientset/versioned/fake
This package has the automatically generated fake clientset.
This package has the automatically generated fake clientset.
client/clientset/versioned/scheme
This package contains the scheme of the automatically generated clientset.
This package contains the scheme of the automatically generated clientset.
client/clientset/versioned/typed/tensorflow/v1
This package has the automatically generated typed clients.
This package has the automatically generated typed clients.
client/clientset/versioned/typed/tensorflow/v1/fake
Package fake has the automatically generated clients.
Package fake has the automatically generated clients.
common/util/v1/unstructured
Package unstructured is the package for unstructured informer, which is from https://github.com/argoproj/argo/blob/master/util/unstructured/unstructured.go This is a temporary solution for https://github.com/kubeflow/tf-operator/issues/561
Package unstructured is the package for unstructured informer, which is from https://github.com/argoproj/argo/blob/master/util/unstructured/unstructured.go This is a temporary solution for https://github.com/kubeflow/tf-operator/issues/561
controller.v1/tensorflow
Package controller provides a Kubernetes controller for a TFJob resource.
Package controller provides a Kubernetes controller for a TFJob resource.

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