Merge pull request #4 from canonical-labs/v0.2.x

Upgraded kubeflow install to 0.2.7

install-kubeflow.sh

@@ -20,7 +20,7 @@ kubectl create namespace ${NAMESPACE}
 # Which version of Kubeflow to use
 # For a list of releases refer to:
 # https://github.com/kubeflow/kubeflow/releases
-VERSION=${VERSION:-v0.1.3}
+VERSION=${VERSION:-v0.2.7}
 
 # Initialize a ksonnet app. Set the namespace for it's default environment.
 APP_NAME=${APP_NAME:-my-kubeflow}
@@ -31,30 +31,40 @@ ks env set default --namespace ${NAMESPACE}
 # Install Kubeflow components
 ks registry add kubeflow github.com/kubeflow/kubeflow/tree/${VERSION}/kubeflow
 
-ks pkg install kubeflow/core@${VERSION}
-ks pkg install kubeflow/tf-serving@${VERSION}
-ks pkg install kubeflow/tf-job@${VERSION}
+# ks pkg install kubeflow/core@${VERSION}
+# ks pkg install kubeflow/tf-serving@${VERSION}
+# ks pkg install kubeflow/tf-job@${VERSION}
 
-# Create templates for core components
-ks generate kubeflow-core kubeflow-core
-
-# If your cluster is running on Azure you will need to set the cloud parameter.
-# If the cluster was created with AKS or ACS choose aks, it if was created
-# with acs-engine, choose acsengine
-# PLATFORM=<aks|acsengine>
-# ks param set kubeflow-core cloud ${PLATFORM}
+ks pkg install kubeflow/argo
+ks pkg install kubeflow/core
+ks pkg install kubeflow/examples
+ks pkg install kubeflow/katib
+ks pkg install kubeflow/mpi-job
+ks pkg install kubeflow/pytorch-job
+ks pkg install kubeflow/seldon
+ks pkg install kubeflow/tf-serving
 
+# Create templates for core components
+ks generate kubeflow-core kubeflow-core --name=kubeflow-core
+ks param set kubeflow-core jupyterHubImage gcr.io/kubeflow/jupyterhub-k8s:1.0.1
 # Enable collection of anonymous usage metrics
 # Skip this step if you don't want to enable collection.
 ks param set kubeflow-core reportUsage true
 ks param set kubeflow-core usageId $(uuidgen)
-
 # For non-cloud use .. use NodePort (instead of ClusterIp)
 ks param set kubeflow-core jupyterHubServiceType NodePort
-
 # Deploy Kubeflow
 ks apply default -c kubeflow-core
 
+ks generate argo kubeflow-argo --name=kubeflow-argo
+ks apply default -c kubeflow-argo
+
+# NB logDir is where the TF events are written. At this high level, might not be useful
+# ks is 0.2.7 complains about logDir intermittently .. will adjust for 0.3.x
+# see issue https://github.com/kubeflow/kubeflow/issues/1330
+# ks generate tensorboard kubeflow-tensorboard --name=kubeflow-tensorboard --logDir=logs
+# ks apply default -c kubeflow-tensorboard
+
 until [[ `kubectl get pods -n=kubeflow | grep -o 'ContainerCreating' | wc -l` == 0 ]] ; do
   echo "Checking kubeflow status until all pods are running ("`kubectl get pods -n=kubeflow | grep -o 'ContainerCreating' | wc -l`" not running). Sleeping for 10 seconds."
   sleep 10