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Update CONTRIBUTING.md
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Use -- server-side to install the latest local changes of Training
Operator control plane

Signed-off-by: Sandipan Panda <[email protected]>
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sandipanpanda committed Dec 9, 2024
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Expand Up @@ -68,7 +68,7 @@ Note, that for the example job below, the PyTorchJob uses the `kubeflow` namespa

From here we can apply the manifests to the cluster.
```sh
kubectl apply -k "github.com/kubeflow/training-operator/manifests/overlays/standalone"
kubectl apply --server-side -k "github.com/kubeflow/training-operator/manifests/overlays/standalone"
```

Then we can patch it with the latest operator image.
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