et-operator-extension

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Published: Dec 17, 2021 License: Apache-2.0

README

et-operator-extension

https://github.com/AliyunContainerService/et-operator

Some distributed deep learning training framework like horovod support elastic training, which enables training job scale up and down the number of workers dynamically at runtime without interrupting the training process.

Et-operator provides a set of Kubernetes Custom Resource Definition that makes it easy to run horovod or AIACC elastic training in kubernetes. After submit a training job, you can scaleIn and scaleOut workers during training on demand, which can make your training job more elasticity and efficient.

et-operator-extension is a kube-queue extension for et-operator.

Directories

Path Synopsis
cmd
app
pkg
et-operator/apis/common/job_controller/v1
Package v1 is the v1 version of the API.
Package v1 is the v1 version of the API.
et-operator/apis/et/v1alpha1
Package v1alpha1 contains API Schema definitions for the kai v1alpha1 API group +kubebuilder:object:generate=true +groupName=kai.alibabacloud.com
Package v1alpha1 contains API Schema definitions for the kai v1alpha1 API group +kubebuilder:object:generate=true +groupName=kai.alibabacloud.com
et-operator/client/clientset/versioned
This package has the automatically generated clientset.
This package has the automatically generated clientset.
et-operator/client/clientset/versioned/fake
This package has the automatically generated fake clientset.
This package has the automatically generated fake clientset.
et-operator/client/clientset/versioned/scheme
This package contains the scheme of the automatically generated clientset.
This package contains the scheme of the automatically generated clientset.
et-operator/client/clientset/versioned/typed/et/v1alpha1
This package has the automatically generated typed clients.
This package has the automatically generated typed clients.
et-operator/client/clientset/versioned/typed/et/v1alpha1/fake
Package fake has the automatically generated clients.
Package fake has the automatically generated clients.

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