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chore: Use double quoted resource values in sample manifest files.
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‎ray-operator/config/samples/ray-cluster-label-selector.yaml‎

Lines changed: 16 additions & 16 deletions
Original file line numberDiff line numberDiff line change
@@ -38,11 +38,11 @@ spec:
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name: client
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resources:
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limits:
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cpu: 1
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memory: 5Gi
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cpu: "1"
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memory: "5Gi"
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requests:
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cpu: 1
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memory: 2Gi
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cpu: "1"
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memory: "2Gi"
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volumeMounts:
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- mountPath: /home/ray/samples
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name: ray-example-configmap
@@ -74,11 +74,11 @@ spec:
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image: rayproject/ray:nightly
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resources:
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limits:
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cpu: 2
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memory: 4Gi
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cpu: "2"
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memory: "4Gi"
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requests:
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cpu: 2
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memory: 4Gi
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cpu: "2"
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memory: "4Gi"
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nodeSelector:
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cloud.google.com/machine-family: "N4"
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- replicas: 0
@@ -98,11 +98,11 @@ spec:
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image: rayproject/ray:nightly-gpu
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resources:
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limits:
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cpu: 1
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memory: 1Gi
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cpu: "1"
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memory: "1Gi"
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requests:
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cpu: 1
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memory: 1Gi
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cpu: "1"
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memory: "1Gi"
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nodeSelector:
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cloud.google.com/gke-spot: "true"
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cloud.google.com/gke-accelerator: "nvidia-tesla-a100"
@@ -121,11 +121,11 @@ spec:
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image: rayproject/ray:nightly
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resources:
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limits:
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cpu: 1
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memory: 1Gi
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cpu: "1"
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memory: "1Gi"
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requests:
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cpu: 1
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memory: 1Gi
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cpu: "1"
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memory: "1Gi"
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nodeSelector:
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cloud.google.com/gke-spot: "true"
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---

‎ray-operator/config/samples/ray-cluster-resource-isolation-with-overrides.gke.yaml‎

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -19,11 +19,11 @@ spec:
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image: rayproject/ray:2.52.0
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resources:
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limits:
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cpu: 4
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memory: 8Gi
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cpu: "4"
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memory: "8Gi"
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requests:
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cpu: 4
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memory: 8Gi
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cpu: "4"
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memory: "8Gi"
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ports:
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- containerPort: 6379
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name: gcs-server
@@ -52,10 +52,10 @@ spec:
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image: rayproject/ray:2.52.0
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resources:
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limits:
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cpu: 2
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memory: 8Gi
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cpu: "2"
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memory: "8Gi"
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requests:
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cpu: 2
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memory: 8Gi
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cpu: "2"
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memory: "8Gi"
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nodeSelector:
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node.gke.io/enable-writable-cgroups: "true"

‎ray-operator/config/samples/ray-cluster-resource-isolation.gke.yaml‎

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -17,11 +17,11 @@ spec:
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image: rayproject/ray:2.52.0
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resources:
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limits:
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cpu: 2
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memory: 8Gi
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cpu: "2"
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memory: "8Gi"
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requests:
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cpu: 2
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memory: 8Gi
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cpu: "2"
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memory: "8Gi"
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ports:
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- containerPort: 6379
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name: gcs-server
@@ -48,10 +48,10 @@ spec:
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image: rayproject/ray:2.52.0
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resources:
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limits:
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cpu: 2
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memory: 8Gi
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cpu: "2"
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memory: "8Gi"
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requests:
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cpu: 2
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memory: 8Gi
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cpu: "2"
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memory: "8Gi"
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nodeSelector:
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node.gke.io/enable-writable-cgroups: "true"

‎ray-operator/config/samples/ray-cluster.auth-manual.yaml‎

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Original file line numberDiff line numberDiff line change
@@ -23,11 +23,11 @@ spec:
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name: ray-cluster-with-auth # change this to match your Secret name
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resources:
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limits:
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cpu: 4
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memory: 8Gi
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cpu: "4"
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memory: "8Gi"
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requests:
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cpu: 4
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memory: 8Gi
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cpu: "4"
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memory: "8Gi"
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ports:
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- containerPort: 6379
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name: gcs-server
@@ -56,8 +56,8 @@ spec:
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name: ray-cluster-with-auth # change this to match your Secret name
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resources:
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limits:
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cpu: 4
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memory: 8Gi
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cpu: "4"
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memory: "8Gi"
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requests:
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cpu: 4
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memory: 8Gi
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cpu: "4"
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memory: "8Gi"

‎ray-operator/config/samples/ray-cluster.auth.yaml‎

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@@ -16,11 +16,11 @@ spec:
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image: rayproject/ray:2.53.0
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resources:
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limits:
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cpu: 4
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memory: 8Gi
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cpu: "4"
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memory: "8Gi"
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requests:
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cpu: 4
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memory: 8Gi
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cpu: "4"
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memory: "8Gi"
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ports:
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- containerPort: 6379
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name: gcs-server
@@ -41,8 +41,8 @@ spec:
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image: rayproject/ray:2.53.0
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resources:
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limits:
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cpu: 4
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memory: 8Gi
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cpu: "4"
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memory: "8Gi"
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requests:
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cpu: 4
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memory: 8Gi
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cpu: "4"
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memory: "8Gi"

‎ray-operator/config/samples/ray-cluster.autoscaler-v2.yaml‎

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@@ -51,11 +51,11 @@ spec:
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name: client
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resources:
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limits:
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cpu: 1
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memory: 5Gi
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cpu: "1"
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memory: "5Gi"
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requests:
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cpu: 1
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memory: 2Gi
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cpu: "1"
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memory: "2Gi"
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volumeMounts:
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- mountPath: /home/ray/samples
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name: ray-example-configmap
@@ -84,11 +84,11 @@ spec:
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image: rayproject/ray:2.52.0
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resources:
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limits:
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cpu: 1
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memory: 1Gi
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cpu: "1"
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memory: "1Gi"
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requests:
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cpu: 1
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memory: 1Gi
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cpu: "1"
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memory: "1Gi"
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---
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apiVersion: v1
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kind: ConfigMap

‎ray-operator/config/samples/ray-cluster.autoscaler.yaml‎

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@@ -72,11 +72,11 @@ spec:
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name: client
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resources:
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limits:
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cpu: 1
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memory: 5Gi
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cpu: "1"
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memory: "5Gi"
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requests:
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cpu: 1
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memory: 2Gi
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cpu: "1"
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memory: "2Gi"
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volumeMounts:
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- mountPath: /home/ray/samples
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name: ray-example-configmap
@@ -114,11 +114,11 @@ spec:
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image: rayproject/ray:2.52.0
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resources:
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limits:
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cpu: 1
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memory: 1Gi
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cpu: "1"
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memory: "1Gi"
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requests:
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cpu: 1
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memory: 1Gi
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cpu: "1"
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memory: "1Gi"
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---
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apiVersion: v1
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kind: ConfigMap

‎ray-operator/config/samples/ray-cluster.complete.yaml‎

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@@ -46,15 +46,15 @@ spec:
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# entire Kubernetes node on which it is scheduled.
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resources:
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limits:
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cpu: 1
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memory: 5Gi
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cpu: "1"
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memory: "5Gi"
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requests:
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# For production use-cases, we recommend specifying integer CPU requests and limits.
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# We also recommend setting requests equal to limits for both CPU and memory.
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# For this example, we use a 500m CPU request to accomodate resource-constrained local
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# Kubernetes testing environments such as KinD and minikube.
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cpu: 500m
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memory: 2Gi
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cpu: "500m"
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memory: "2Gi"
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volumes:
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- name: ray-logs
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emptyDir: {}
@@ -98,8 +98,8 @@ spec:
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# entire Kubernetes node on which it is scheduled.
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resources:
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limits:
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cpu: 1
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memory: 1Gi
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cpu: "1"
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memory: "1Gi"
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# For production use-cases, we recommend specifying integer CPU requests and limits.
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# We also recommend setting requests equal to limits for both CPU and memory.
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# For this example, we use a 500m CPU request to accomodate resource-constrained local
@@ -109,9 +109,9 @@ spec:
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# We also recommend setting requests equal to limits for both CPU and memory.
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# For this example, we use a 500m CPU request to accomodate resource-constrained local
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# Kubernetes testing environments such as KinD and minikube.
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cpu: 500m
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cpu: "500m"
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# For production use-cases, we recommend allocating at least 8Gb memory for each Ray container.
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memory: 1Gi
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memory: "1Gi"
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# use volumes
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# Refer to https://kubernetes.io/docs/concepts/storage/volumes/
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volumes:

‎ray-operator/config/samples/ray-cluster.custom-head-service.yaml‎

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Original file line numberDiff line numberDiff line change
@@ -20,7 +20,7 @@ spec:
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labels:
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custom-label: custom-ray-head-service-label
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annotations:
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custom-annotation: custom-ray-head-service-annotation
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custom-annotation: "custom-ray-head-service-annotation"
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spec:
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type: LoadBalancer
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ports:
@@ -35,11 +35,11 @@ spec:
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image: rayproject/ray:2.52.0
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resources:
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limits:
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cpu: 1
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memory: 5Gi
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cpu: "1"
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memory: "5Gi"
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requests:
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cpu: 500m
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memory: 2Gi
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cpu: "500m"
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memory: "2Gi"
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ports:
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- containerPort: 6379
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name: gcs-server

‎ray-operator/config/samples/ray-cluster.deprecate-gcs-ft.yaml‎

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@@ -29,11 +29,11 @@ spec:
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image: rayproject/ray:2.52.0
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resources:
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limits:
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cpu: 1
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memory: 5Gi
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cpu: "1"
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memory: "5Gi"
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requests:
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cpu: 1
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memory: 2Gi
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cpu: "1"
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memory: "2Gi"
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env:
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# Ray will read the RAY_REDIS_ADDRESS environment variable to establish
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# a connection with the Redis server. In this instance, we use the "redis"
@@ -92,11 +92,11 @@ spec:
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name: ray-logs
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resources:
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limits:
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cpu: 1
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memory: 1Gi
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cpu: "1"
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memory: "1Gi"
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requests:
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cpu: 1
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memory: 1Gi
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cpu: "1"
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memory: "1Gi"
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volumes:
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- name: ray-logs
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emptyDir: {}

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