62 lines
1.6 KiB
Django/Jinja
62 lines
1.6 KiB
Django/Jinja
apiVersion: apps/v1
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kind: DaemonSet
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metadata:
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name: nvidia-gpu-device-plugin
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namespace: kube-system
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labels:
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k8s-app: nvidia-gpu-device-plugin
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addonmanager.kubernetes.io/mode: Reconcile
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spec:
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selector:
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matchLabels:
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k8s-app: nvidia-gpu-device-plugin
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template:
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metadata:
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labels:
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k8s-app: nvidia-gpu-device-plugin
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annotations:
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scheduler.alpha.kubernetes.io/critical-pod: ''
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spec:
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priorityClassName: system-node-critical
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affinity:
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nodeAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
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nodeSelectorTerms:
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- matchExpressions:
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- key: "nvidia.com/gpu"
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operator: Exists
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tolerations:
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- operator: "Exists"
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effect: "NoExecute"
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- operator: "Exists"
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effect: "NoSchedule"
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hostNetwork: true
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hostPID: true
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volumes:
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- name: device-plugin
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hostPath:
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path: /var/lib/kubelet/device-plugins
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- name: dev
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hostPath:
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path: /dev
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containers:
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- image: "k8s.gcr.io/nvidia-gpu-device-plugin@sha256:0842734032018be107fa2490c98156992911e3e1f2a21e059ff0105b07dd8e9e"
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command: ["/usr/bin/nvidia-gpu-device-plugin", "-logtostderr"]
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name: nvidia-gpu-device-plugin
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resources:
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requests:
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cpu: 50m
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memory: 10Mi
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limits:
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cpu: 50m
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memory: 10Mi
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securityContext:
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privileged: true
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volumeMounts:
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- name: device-plugin
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mountPath: /device-plugin
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- name: dev
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mountPath: /dev
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updateStrategy:
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type: RollingUpdate
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