feat(deploy): Add standalone deployment yaml (#1218)

Signed-off-by: cegao <[email protected]>

README.md

@@ -17,6 +17,12 @@ run distributed or non-distributed TensorFlow jobs on Kubernetes.
 
 Please refer to the [user guide](https://www.kubeflow.org/docs/guides/components/tftraining/) for more information.
 
+## Deploy
+
+```bash
+kubectl apply -f ./deploy/v1/tf-operator.yaml
+```
+
 ## Contributing
 
 Please refer to the [developer_guide](developer_guide.md)

deploy/v1/tf-operator.yaml

@@ -0,0 +1,201 @@
+# --------------------------------------------------
+# - Single configuration deployment YAML for tf-operator
+# - Include:
+#      CRD deployment
+#      Namespace deployment
+#      RBAC deployment
+#      tf-operator container deployment set
+# --------------------------------------------------
+---
+apiVersion: apiextensions.k8s.io/v1beta1
+kind: CustomResourceDefinition
+metadata:
+  name: tfjobs.kubeflow.org
+spec:
+  group: kubeflow.org
+  scope: Namespaced
+  names:
+    kind: TFJob
+    singular: tfjob
+    plural: tfjobs
+  versions:
+  - name: v1
+    served: true
+    storage: true
+  subresources:
+    status: {}
+  validation:
+    openAPIV3Schema:
+      properties:
+        spec:
+          properties:
+            tfReplicaSpecs:
+              properties:
+                # The validation works when the configuration contains
+                # `Worker`, `PS` , `Chief` or `Evaluator`. Otherwise it will not be validated.
+                Worker:
+                  properties:
+                    replicas:
+                      type: integer
+                      minimum: 1
+                PS:
+                  properties:
+                    replicas:
+                      type: integer
+                      minimum: 1
+                Chief:
+                  properties:
+                    replicas:
+                      type: integer
+                      minimum: 1
+                      maximum: 1
+                Evaluator:
+                  properties:
+                    replicas:
+                      type: integer
+                      minimum: 0
+                      maximum: 1
+---
+apiVersion: v1
+kind: Namespace
+metadata:
+  name: tf-operator
+---
+kind: ClusterRole
+apiVersion: rbac.authorization.k8s.io/v1
+metadata:
+  name: tf-operator
+rules:
+- apiGroups:
+  - ""
+  resources:
+  - configmaps
+  - serviceaccounts
+  - services
+  - secrets
+  - events
+  - namespaces
+  - persistentvolumes
+  - persistentvolumeclaims
+  verbs:
+    - "*"
+- apiGroups:
+  - ""
+  resources:
+  - pods
+  - pods/log
+  - pods/status
+  verbs:
+  - create
+  - get
+  - list
+  - watch
+  - delete
+  - update
+  - patch
+# This is needed for the launcher Role.
+- apiGroups:
+  - ""
+  resources:
+  - pods/exec
+  verbs:
+  - create
+- apiGroups:
+  - ""
+  resources:
+  - endpoints
+  verbs:
+  - create
+  - get
+  - update
+- apiGroups:
+  - ""
+  resources:
+  - events
+  verbs:
+  - create
+  - patch
+- apiGroups:
+  - rbac.authorization.k8s.io
+  resources:
+  - roles
+  - rolebindings
+  verbs:
+  - create
+  - list
+  - watch
+- apiGroups:
+  - policy
+  resources:
+  - poddisruptionbudgets
+  verbs:
+  - create
+  - list
+  - update
+  - watch
+- apiGroups:
+  - apiextensions.k8s.io
+  resources:
+  - customresourcedefinitions
+  verbs:
+  - create
+  - get
+- apiGroups:
+  - kubeflow.org
+  resources:
+  - tfjobs
+  - tfjobs/status
+  verbs:
+  - "*"
+- apiGroups:
+  - scheduling.incubator.k8s.io
+  - scheduling.sigs.dev
+  - scheduling.volcano.sh
+  resources:
+  - queues
+  - podgroups
+  verbs:
+  - "*"
+---
+apiVersion: v1
+kind: ServiceAccount
+metadata:
+  name: tf-operator
+  namespace: tf-operator
+---
+kind: ClusterRoleBinding
+apiVersion: rbac.authorization.k8s.io/v1
+metadata:
+  name: tf-operator
+  namespace: tf-operator
+roleRef:
+  apiGroup: rbac.authorization.k8s.io
+  kind: ClusterRole
+  name: tf-operator
+subjects:
+- kind: ServiceAccount
+  name: tf-operator
+  namespace: tf-operator
+---
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: tf-operator
+  namespace: tf-operator
+  labels:
+    app: tf-operator
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: tf-operator
+  template:
+    metadata:
+      labels:
+        app: tf-operator
+    spec:
+      serviceAccountName: tf-operator
+      containers:
+      - name: tf-operator
+        image: ghcr.io/kubeflow-incubator/tf-operator:latest
+        imagePullPolicy: Always