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Adds a local volume sample for the Viewer CRD #822

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Feb 15, 2019
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4 changes: 2 additions & 2 deletions backend/src/crd/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -173,15 +173,15 @@ customresourcedefinition.apiextensions.k8s.io/viewers.kubeflow.org created
To run the controller locally, execute:

```
go run ./controller/viewer/ -kubeconfig=$HOME/.kube/config -alsologtostderr=true
go run ./controller/viewer/ -kubecfg=$HOME/.kube/config -alsologtostderr=true
```

Now, let's create a simple Tensorboard viewer using the supplied sample:
```
$ kubectl create -f samples/viewer/mnist.yaml
viewer.kubeflow.org/viewer-75tkf created

$ kubectl getctl -n kubeflow vi
$ kubectl get viewers -n kubeflow
NAME AGE
viewer-75tkf 108s
```
Expand Down
39 changes: 39 additions & 0 deletions backend/src/crd/samples/viewer/tensorboard-local-volume.yaml
Original file line number Diff line number Diff line change
@@ -0,0 +1,39 @@
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.


# This example shows how to use a Kubernetes local persistent volume with Tensorboard
# viewer. The definition below assumes you have a volume called
# 'argo-volume' in the cluster. This persistent volume will be mounted to
# /workdir, and /workdir/tensorboard is specified as the logdir parameter for
# Tensorboard. This assumes you have Tensorboard data in the logdir path.
apiVersion: "kubeflow.org/v1beta1"
kind: Viewer
metadata:
generateName: viewer-
namespace: kubeflow
spec:
type: tensorboard
tensorboardSpec:
logDir: /workdir/tensorboard/
podTemplateSpec:
spec:
containers:
- volumeMounts:
- name: argo-volume
mountPath: /workdir
volumes:
- name: argo-volume
persistentVolumeClaim:
claimName: argo-claim