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raytest.yaml
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apiVersion: workload.codeflare.dev/v1beta1
kind: AppWrapper
metadata:
name: raytest
namespace: default
spec:
priority: 9
resources:
GenericItems:
- custompodresources:
- limits:
cpu: 2
memory: 8G
nvidia.com/gpu: 0
replicas: 1
requests:
cpu: 2
memory: 8G
nvidia.com/gpu: 0
- limits:
cpu: 1
memory: 4G
nvidia.com/gpu: 0
replicas: 2
requests:
cpu: 1
memory: 4G
nvidia.com/gpu: 0
generictemplate:
apiVersion: ray.io/v1alpha1
kind: RayCluster
metadata:
labels:
workload.codeflare.dev/appwrapper: raytest
controller-tools.k8s.io: '1.0'
name: raytest
namespace: default
spec:
autoscalerOptions:
idleTimeoutSeconds: 60
imagePullPolicy: Always
resources:
limits:
cpu: 500m
memory: 512Mi
requests:
cpu: 500m
memory: 512Mi
upscalingMode: Default
enableInTreeAutoscaling: false
headGroupSpec:
rayStartParams:
block: 'true'
dashboard-host: 0.0.0.0
num-gpus: '0'
serviceType: ClusterIP
template:
spec:
containers:
- env:
- name: MY_POD_IP
valueFrom:
fieldRef:
fieldPath: status.podIP
- name: RAY_USE_TLS
value: '0'
- name: RAY_TLS_SERVER_CERT
value: /home/ray/workspace/tls/server.crt
- name: RAY_TLS_SERVER_KEY
value: /home/ray/workspace/tls/server.key
- name: RAY_TLS_CA_CERT
value: /home/ray/workspace/tls/ca.crt
image: quay.io/project-codeflare/ray:latest-py39-cu118
imagePullPolicy: Always
lifecycle:
preStop:
exec:
command:
- /bin/sh
- -c
- ray stop
name: ray-head
ports:
- containerPort: 6379
name: gcs
- containerPort: 8265
name: dashboard
- containerPort: 10001
name: client
resources:
limits:
cpu: 2
memory: 8G
nvidia.com/gpu: 0
requests:
cpu: 2
memory: 8G
nvidia.com/gpu: 0
imagePullSecrets: []
rayVersion: 2.1.0
workerGroupSpecs:
- groupName: small-group-raytest
maxReplicas: 2
minReplicas: 2
rayStartParams:
block: 'true'
num-gpus: '0'
replicas: 2
template:
metadata:
annotations:
key: value
labels:
key: value
spec:
containers:
- env:
- name: MY_POD_IP
valueFrom:
fieldRef:
fieldPath: status.podIP
- name: RAY_USE_TLS
value: '0'
- name: RAY_TLS_SERVER_CERT
value: /home/ray/workspace/tls/server.crt
- name: RAY_TLS_SERVER_KEY
value: /home/ray/workspace/tls/server.key
- name: RAY_TLS_CA_CERT
value: /home/ray/workspace/tls/ca.crt
image: quay.io/project-codeflare/ray:latest-py39-cu118
lifecycle:
preStop:
exec:
command:
- /bin/sh
- -c
- ray stop
name: machine-learning
resources:
limits:
cpu: 1
memory: 4G
nvidia.com/gpu: 0
requests:
cpu: 1
memory: 4G
nvidia.com/gpu: 0
imagePullSecrets: []
initContainers:
- command:
- sh
- -c
- until nslookup $RAY_IP.$(cat /var/run/secrets/kubernetes.io/serviceaccount/namespace).svc.cluster.local;
do echo waiting for myservice; sleep 2; done
image: busybox:1.28
name: init-myservice
replicas: 1
- generictemplate:
apiVersion: route.openshift.io/v1
kind: Route
metadata:
labels:
odh-ray-cluster-service: raytest-head-svc
name: ray-dashboard-raytest
namespace: default
spec:
port:
targetPort: dashboard
to:
kind: Service
name: raytest-head-svc
replicas: 1
Items: []