README
¶
MPI Operator
The MPI Operator makes it easy to run allreduce-style distributed training.
Deploy
kubectl create -f deploy/
Test
Launch a multi-node tensorflow benchmark training job:
kubectl create -f examples/tensorflow-benchmarks.yaml
Once everything starts, the logs are available in the launcher pod.
Directories
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| Path | Synopsis |
|---|---|
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cmd
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pkg
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apis/kubeflow/v1alpha1
+k8s:deepcopy-gen=package +groupName=kubeflow.org
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+k8s:deepcopy-gen=package +groupName=kubeflow.org |
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client/clientset/versioned
This package has the automatically generated clientset.
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This package has the automatically generated clientset. |
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client/clientset/versioned/fake
This package has the automatically generated fake clientset.
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This package has the automatically generated fake clientset. |
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client/clientset/versioned/scheme
This package contains the scheme of the automatically generated clientset.
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This package contains the scheme of the automatically generated clientset. |
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client/clientset/versioned/typed/kubeflow/v1alpha1
This package has the automatically generated typed clients.
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This package has the automatically generated typed clients. |
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client/clientset/versioned/typed/kubeflow/v1alpha1/fake
Package fake has the automatically generated clients.
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Package fake has the automatically generated clients. |
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