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Changed: bump up version
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@ -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: "3.6.0"
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version: "3.7.0"
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appVersion: "1.24"
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kubeVersion: ">= 1.21.0-0 < 1.27.0-0"
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home: https://clear.ml
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@ -21,4 +21,4 @@ keywords:
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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 priorityClass in task pod template
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description: support for existing rolebindings and clusterrolebindings
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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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@ -30,7 +30,9 @@ Kubernetes: `>= 1.21.0-0 < 1.27.0-0`
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| Key | Type | Default | Description |
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|-----|------|---------|-------------|
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| agentk8sglue | object | `{"affinity":{},"annotations":{},"apiServerUrlReference":"https://api.clear.ml","basePodTemplate":{"affinity":{},"annotations":{},"env":[],"fileMounts":[],"hostAliases":[],"initContainers":[],"labels":{},"nodeSelector":{},"priorityClassName":"","resources":{},"schedulerName":"","securityContext":{},"tolerations":[],"volumeMounts":[],"volumes":[]},"clearmlcheckCertificate":true,"containerCustomBashScript":"","customBashScript":"","debugMode":false,"defaultContainerImage":"ubuntu:18.04","extraEnvs":[],"fileMounts":[],"fileServerUrlReference":"https://files.clear.ml","image":{"repository":"allegroai/clearml-agent-k8s-base","tag":"1.24-21"},"labels":{},"nodeSelector":{},"queue":"default","replicaCount":1,"securityContext":{},"serviceExistingAccountName":"","taskAsJob":false,"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/allegroai/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":{},"env":[],"fileMounts":[],"hostAliases":[],"initContainers":[],"labels":{},"nodeSelector":{},"priorityClassName":"","resources":{},"schedulerName":"","securityContext":{},"tolerations":[],"volumeMounts":[],"volumes":[]},"clearmlcheckCertificate":true,"containerCustomBashScript":"","customBashScript":"","debugMode":false,"defaultContainerImage":"ubuntu:18.04","extraEnvs":[],"fileMounts":[],"fileServerUrlReference":"https://files.clear.ml","image":{"repository":"allegroai/clearml-agent-k8s-base","tag":"1.24-21"},"labels":{},"nodeSelector":{},"queue":"default","replicaCount":1,"securityContext":{},"serviceExistingAccountName":"","taskAsJob":false,"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/allegroai/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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