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feat(training-operator): first version of the chart
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| # Patterns to ignore when building packages. | ||
| # This supports shell glob matching, relative path matching, and | ||
| # negation (prefixed with !). Only one pattern per line. | ||
| .DS_Store | ||
| # Common VCS dirs | ||
| .git/ | ||
| .gitignore | ||
| .bzr/ | ||
| .bzrignore | ||
| .hg/ | ||
| .hgignore | ||
| .svn/ | ||
| # Common backup files | ||
| *.swp | ||
| *.bak | ||
| *.tmp | ||
| *~ | ||
| # Various IDEs | ||
| .project | ||
| .idea/ | ||
| *.tmproj | ||
| .vscode/ |
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| dependencies: | ||
| - name: common | ||
| repository: https://charts.bitnami.com/bitnami/ | ||
| version: 1.7.1 | ||
| digest: sha256:40f9bf131e797c2ef880e51b4d481bf7bd1f79980fd288d627ac5be8f0563877 | ||
| generated: "2021-10-18T08:44:50.060653779+02:00" |
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| apiVersion: v2 | ||
| appVersion: 1.3.0 | ||
| description: Makes it easy to run distributed or non-distributed TensorFlow/PyTorch/MXNet/XGBoost jobs on Kubernetes | ||
| home: https://github.com/kubeflow/training-operator | ||
| maintainers: | ||
| - name: sebastien-prudhomme | ||
| email: [email protected] | ||
| name: training-operator | ||
| sources: | ||
| - https://github.com/kubeflow/training-operator | ||
| - https://github.com/cowboysysop/charts/tree/master/charts/training-operator | ||
| version: 1.0.0 | ||
| dependencies: | ||
| - name: common | ||
| version: 1.7.1 | ||
| repository: https://charts.bitnami.com/bitnami/ |
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| # Training Operator | ||
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| [Training Operator](https://github.com/kubeflow/training-operator) makes it easy to run distributed or non-distributed TensorFlow/PyTorch/MXNet/XGBoost jobs on Kubernetes. | ||
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| ## TL;DR; | ||
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| ```bash | ||
| $ helm repo add cowboysysop https://cowboysysop.github.io/charts/ | ||
| $ helm install my-release cowboysysop/training-operator | ||
| ``` | ||
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| ## Introduction | ||
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| This chart bootstraps a Training Operator deployment on a [Kubernetes](http://kubernetes.io) cluster using the [Helm](https://helm.sh) package manager. | ||
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| ## Prerequisites | ||
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| - Kubernetes 1.16+ | ||
| - Helm 3.0+ | ||
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| ## Installing | ||
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| Install the chart using: | ||
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| ```bash | ||
| $ helm repo add cowboysysop https://cowboysysop.github.io/charts/ | ||
| $ helm install my-release cowboysysop/training-operator | ||
| ``` | ||
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| These commands deploy Training Operator on the Kubernetes cluster in the default configuration and with the release name `my-release`. The deployment configuration can be customized by specifying the customization parameters with the `helm install` command using the `--values` or `--set` arguments. Find more information in the [configuration section](#configuration) of this document. | ||
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| ## Upgrading | ||
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| Replace the custom resource definitions created by the chart using: | ||
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| ```bash | ||
| kubectl replace -f crds/mxjob.yaml | ||
| kubectl replace -f crds/pytorchjob.yaml | ||
| kubectl replace -f crds/tfjob.yaml | ||
| kubectl replace -f crds/xgboostjob.yaml | ||
| ``` | ||
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| Upgrade the chart deployment using: | ||
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| ```bash | ||
| $ helm upgrade my-release cowboysysop/training-operator | ||
| ``` | ||
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| The command upgrades the existing `my-release` deployment with the most latest release of the chart. | ||
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| **TIP**: Use `helm repo update` to update information on available charts in the chart repositories. | ||
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| ## Uninstalling | ||
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| Uninstall the `my-release` deployment using: | ||
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| ```bash | ||
| $ helm uninstall my-release | ||
| ``` | ||
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| The command deletes the release named `my-release` and frees all the kubernetes resources associated with the release. | ||
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| **TIP**: Specify the `--purge` argument to the above command to remove the release from the store and make its name free for later use. | ||
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| Optionally, delete the custom resource definitions created by the chart using: | ||
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| ```bash | ||
| $ kubectl delete crd mxjobs.kubeflow.org | ||
| $ kubectl delete crd pytorchjobs.kubeflow.org | ||
| $ kubectl delete crd tfjobs.kubeflow.org | ||
| $ kubectl delete crd xgboostjobs.kubeflow.org | ||
| ``` | ||
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| ## Configuration | ||
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| The following tables lists all the configurable parameters expose by the chart and their default values. | ||
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| ### Common parameters | ||
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| | Name | Description | Default | | ||
| |---------------------|--------------------------------------------------------------------------------------------------------|---------| | ||
| | `kubeVersion` | Override Kubernetes version | `""` | | ||
| | `imagePullSecrets` | Docker registry secret names as an array | `[]` | | ||
| | `nameOverride` | Partially override `training-operator.fullname` template with a string (will prepend the release name) | `nil` | | ||
| | `fullnameOverride` | Fully override `training-operator.fullname` template with a string | `nil` | | ||
| | `commonAnnotations` | Annotations to add to all deployed objects | `{}` | | ||
| | `commonLabels` | Labels to add to all deployed objects | `{}` | | ||
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| ### Parameters | ||
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| | Name | Description | Default | | ||
| |--------------------------------------|-------------------------------------------------------------------------------------------------------|-----------------------------------------------------------| | ||
| | `replicaCount` | Number of replicas | `1` | | ||
| | `image.repository` | Image name | `public.ecr.aws/j1r0q0g6/training/training-operator` | | ||
| | `image.tag` | Image tag | `760ac1171dd30039a7363ffa03c77454bd714da5` | | ||
| | `image.pullPolicy` | Image pull policy | `IfNotPresent` | | ||
| | `pdb.create` | Specifies whether a pod disruption budget should be created | `false` | | ||
| | `pdb.minAvailable` | Minimum number/percentage of pods that should remain scheduled | `1` | | ||
| | `pdb.maxUnavailable` | Maximum number/percentage of pods that may be made unavailable | `nil` | | ||
| | `serviceAccount.create` | Specify whether to create a ServiceAccount | `true` | | ||
| | `serviceAccount.annotations` | ServiceAccount annotations | `{}` | | ||
| | `serviceAccount.name` | The name of the ServiceAccount to create | Generated using the `training-operator.fullname` template | | ||
| | `podAnnotations` | Additional pod annotations | `{}` | | ||
| | `podLabels` | Additional pod labels | `{}` | | ||
| | `podSecurityContext` | Pod security context | `{}` | | ||
| | `priorityClassName` | Priority class name | `nil` | | ||
| | `securityContext` | Container security context | `{}` | | ||
| | `livenessProbe.enabled` | Enable liveness probe | `true` | | ||
| | `livenessProbe.initialDelaySeconds` | Delay before the liveness probe is initiated | `0` | | ||
| | `livenessProbe.periodSeconds` | How often to perform the liveness probe | `10` | | ||
| | `livenessProbe.timeoutSeconds` | When the liveness probe times out | `1` | | ||
| | `livenessProbe.failureThreshold` | Minimum consecutive failures for the liveness probe to be considered failed after having succeeded | `3` | | ||
| | `livenessProbe.successThreshold` | Minimum consecutive successes for the liveness probe to be considered successful after having failed | `1` | | ||
| | `readinessProbe.enabled` | Enable readiness probe | `true` | | ||
| | `readinessProbe.initialDelaySeconds` | Delay before the readiness probe is initiated | `0` | | ||
| | `readinessProbe.periodSeconds` | How often to perform the readiness probe | `10` | | ||
| | `readinessProbe.timeoutSeconds` | When the readiness probe times out | `1` | | ||
| | `readinessProbe.failureThreshold` | Minimum consecutive failures for the readiness probe to be considered failed after having succeeded | `3` | | ||
| | `readinessProbe.successThreshold` | Minimum consecutive successes for the readiness probe to be considered successful after having failed | `1` | | ||
| | `resources` | CPU/Memory resource requests/limits | `{}` | | ||
| | `nodeSelector` | Node labels for pod assignment | `{}` | | ||
| | `tolerations` | Tolerations for pod assignment | `[]` | | ||
| | `affinity` | Map of node/pod affinities | `{}` | | ||
| | `extraArgs` | Additional container arguments | `{}` | | ||
| | `extraEnvVars` | Additional container environment variables | `[]` | | ||
| | `extraEnvVarsCM` | Name of existing ConfigMap containing additional container environment variables | `nil` | | ||
| | `extraEnvVarsSecret` | Name of existing Secret containing additional container environment variables | `nil` | | ||
| | `metrics.service.annotations` | Metrics service annotations | {} | | ||
| | `metrics.service.type` | Metrics service type | `ClusterIP` | | ||
| | `metrics.service.clusterIP` | Metrics static cluster IP address or None for headless service when service type is ClusterIP | `nil` | | ||
| | `metrics.service.port` | Metrics service port | `8080` | | ||
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| Specify the parameters you which to customize using the `--set` argument to the `helm install` command. For instance, | ||
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| ```bash | ||
| $ helm install my-release \ | ||
| --set nameOverride=my-name cowboysysop/training-operator | ||
| ``` | ||
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| The above command sets the `nameOverride` to `my-name`. | ||
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| Alternatively, a YAML file that specifies the values for the above parameters can be provided while installing the chart. For example, | ||
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| ```bash | ||
| $ helm install my-release \ | ||
| --values values.yaml cowboysysop/training-operator | ||
| ``` | ||
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| **Tip**: You can use the default [values.yaml](values.yaml). |
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| fullnameOverride: training-operator |
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