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https://github.com/clearml/clearml-helm-charts
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Merge 487650f3ca
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commit
b9aacafd3d
@ -2,7 +2,7 @@ apiVersion: v2
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name: clearml-agent
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description: MLOps platform Task running agent
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type: application
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version: "5.3.2"
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version: "5.3.3"
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appVersion: "1.24"
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kubeVersion: ">= 1.21.0-0 < 1.33.0-0"
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home: https://clear.ml
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@ -20,5 +20,7 @@ keywords:
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- "task agent"
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annotations:
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artifacthub.io/changes: |
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- kind: added
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description: "support for runtimeClassName"
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- kind: changed
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description: "Support kubernetes 1.32"
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@ -1,6 +1,6 @@
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# ClearML Kubernetes Agent
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MLOps platform Task running agent
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@ -61,13 +61,13 @@ Kubernetes: `>= 1.21.0-0 < 1.33.0-0`
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| Key | Type | Default | Description |
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|-----|------|---------|-------------|
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| agentk8sglue | object | `{"additionalClusterRoleBindings":[],"additionalRoleBindings":[],"affinity":{},"annotations":{},"apiServerUrlReference":"https://api.clear.ml","basePodTemplate":{"affinity":{},"annotations":{},"containerSecurityContext":{},"env":[],"fileMounts":[],"hostAliases":[],"initContainers":[],"labels":{},"nodeSelector":{},"podSecurityContext":{},"priorityClassName":"","resources":{},"schedulerName":"","tolerations":[],"volumeMounts":[],"volumes":[]},"clearmlcheckCertificate":true,"containerSecurityContext":{},"createQueueIfNotExists":false,"defaultContainerImage":"ubuntu:18.04","extraEnvs":[],"fileMounts":[],"fileServerUrlReference":"https://files.clear.ml","image":{"registry":"","repository":"allegroai/clearml-agent-k8s-base","tag":"1.24-21"},"initContainers":{"resources":{}},"labels":{},"nodeSelector":{},"podSecurityContext":{},"queue":"default","replicaCount":1,"resources":{},"serviceAccountAnnotations":{},"serviceExistingAccountName":"","tolerations":[],"volumeMounts":[],"volumes":[],"webServerUrlReference":"https://app.clear.ml"}` | This agent will spawn queued experiments in new pods, a good use case is to combine this with GPU autoscaling nodes. https://github.com/clearml/clearml-agent/tree/master/docker/k8s-glue |
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| agentk8sglue | object | `{"additionalClusterRoleBindings":[],"additionalRoleBindings":[],"affinity":{},"annotations":{},"apiServerUrlReference":"https://api.clear.ml","basePodTemplate":{"affinity":{},"annotations":{},"containerSecurityContext":{},"env":[],"fileMounts":[],"hostAliases":[],"initContainers":[],"labels":{},"nodeSelector":{},"podSecurityContext":{},"priorityClassName":"","resources":{},"runtimeClassName":"","schedulerName":"","tolerations":[],"volumeMounts":[],"volumes":[]},"clearmlcheckCertificate":true,"containerSecurityContext":{},"createQueueIfNotExists":false,"defaultContainerImage":"ubuntu:18.04","extraEnvs":[],"fileMounts":[],"fileServerUrlReference":"https://files.clear.ml","image":{"registry":"","repository":"allegroai/clearml-agent-k8s-base","tag":"1.24-21"},"initContainers":{"resources":{}},"labels":{},"nodeSelector":{},"podSecurityContext":{},"queue":"default","replicaCount":1,"resources":{},"serviceAccountAnnotations":{},"serviceExistingAccountName":"","tolerations":[],"volumeMounts":[],"volumes":[],"webServerUrlReference":"https://app.clear.ml"}` | This agent will spawn queued experiments in new pods, a good use case is to combine this with GPU autoscaling nodes. https://github.com/clearml/clearml-agent/tree/master/docker/k8s-glue |
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| agentk8sglue.additionalClusterRoleBindings | list | `[]` | additional existing ClusterRoleBindings |
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| agentk8sglue.additionalRoleBindings | list | `[]` | additional existing RoleBindings |
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| agentk8sglue.affinity | object | `{}` | affinity setup for Agent pod (example in values.yaml comments) |
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| agentk8sglue.annotations | object | `{}` | annotations setup for Agent pod (example in values.yaml comments) |
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| agentk8sglue.apiServerUrlReference | string | `"https://api.clear.ml"` | Reference to Api server url |
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| agentk8sglue.basePodTemplate | object | `{"affinity":{},"annotations":{},"containerSecurityContext":{},"env":[],"fileMounts":[],"hostAliases":[],"initContainers":[],"labels":{},"nodeSelector":{},"podSecurityContext":{},"priorityClassName":"","resources":{},"schedulerName":"","tolerations":[],"volumeMounts":[],"volumes":[]}` | base template for pods spawned to consume ClearML Task |
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| agentk8sglue.basePodTemplate | object | `{"affinity":{},"annotations":{},"containerSecurityContext":{},"env":[],"fileMounts":[],"hostAliases":[],"initContainers":[],"labels":{},"nodeSelector":{},"podSecurityContext":{},"priorityClassName":"","resources":{},"runtimeClassName":"","schedulerName":"","tolerations":[],"volumeMounts":[],"volumes":[]}` | base template for pods spawned to consume ClearML Task |
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| agentk8sglue.basePodTemplate.affinity | object | `{}` | affinity setup for pods spawned to consume ClearML Task |
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| agentk8sglue.basePodTemplate.annotations | object | `{}` | annotations setup for pods spawned to consume ClearML Task (example in values.yaml comments) |
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| agentk8sglue.basePodTemplate.containerSecurityContext | object | `{}` | securityContext setup for containers spawned to consume ClearML Task (example in values.yaml comments) |
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@ -80,6 +80,7 @@ Kubernetes: `>= 1.21.0-0 < 1.33.0-0`
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| agentk8sglue.basePodTemplate.podSecurityContext | object | `{}` | securityContext setup for pods spawned to consume ClearML Task (example in values.yaml comments) |
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| agentk8sglue.basePodTemplate.priorityClassName | string | `""` | priorityClassName setup for pods spawned to consume ClearML Task |
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| agentk8sglue.basePodTemplate.resources | object | `{}` | resources declaration for pods spawned to consume ClearML Task (example in values.yaml comments) |
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| agentk8sglue.basePodTemplate.runtimeClassName | string | `""` | kubernetes runtime class name (eg nvidia for use with nvidia gpu operator) |
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| agentk8sglue.basePodTemplate.schedulerName | string | `""` | schedulerName setup for pods spawned to consume ClearML Task |
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| agentk8sglue.basePodTemplate.tolerations | list | `[]` | tolerations setup for pods spawned to consume ClearML Task (example in values.yaml comments) |
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| agentk8sglue.basePodTemplate.volumeMounts | list | `[]` | volume mounts definition for pods spawned to consume ClearML Task (example in values.yaml comments) |
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@ -30,6 +30,7 @@ data:
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priorityClassName: {{ .Values.agentk8sglue.basePodTemplate.priorityClassName }}
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initContainers:
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{{- toYaml .Values.agentk8sglue.basePodTemplate.initContainers | nindent 8 }}
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runtimeClassName: {{ .Values.agentk8sglue.basePodTemplate.runtimeClassName }}
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containers:
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- resources:
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{{- toYaml .Values.agentk8sglue.basePodTemplate.resources | nindent 10 }}
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@ -159,6 +159,10 @@ agentk8sglue:
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# - -c
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# - >
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# /bin/echo "this is an init";
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# -- kubernetes runtime class name (eg nvidia for use with nvidia gpu operator)
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runtimeClassName: ""
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# -- schedulerName setup for pods spawned to consume ClearML Task
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schedulerName: ""
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# -- volumes definition for pods spawned to consume ClearML Task (example in values.yaml comments)
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