chore: bump katib-config minimum supported versions to 0.14. Update v…

…arious readmes. Add issue templates.

.github/ISSUE_TEMPLATE/bug.md

@@ -0,0 +1,35 @@
+---
+name: Bug Report
+about: Report a bug encountered during use
+labels: kind/bug
+
+---
+
+### Summary
+
+<!-- Concisely summarize the defect -->
+
+
+### Steps to reproduce
+
+<!-- *Detailed* steps to reproduce the issue. Include OS and hardware information, and attach any necessary *minimal* data files where applicable. -->
+
+
+### Current bug behavior
+
+<!-- What actually occurs -->
+
+
+### Expected correct behavior
+
+<!-- What you expected to observe -->
+
+
+### Relevant logs and/or screenshots
+
+<!-- Paste any relevant logs - please use code blocks (```) to format console output, logs, and code -->
+
+
+### Possible fixes
+
+<!-- If you can, link to the line of code that might be responsible for the problem -->

.github/ISSUE_TEMPLATE/task.md

@@ -0,0 +1,17 @@
+---
+name: Task
+about: General purpose template for feature/chore/documentation
+
+---
+
+### Description
+
+<!--- What development is encompassed in this feature? -->
+
+### Proposal
+
+<!--- What is the proposed solution? -->
+
+### Metrics for Success
+
+<!--- If no way to measure success, link to an issue that will implement a way to measure this. -->

README.md

@@ -114,7 +114,7 @@ Running AutoLFADS using Ray enables scaling your processing jobs to many worker
 
 Running AutoLFADS using KubeFlow enables scaling your experiments across an entire cluster. This workflow allows for isolated multi-user utilization and is ideal for running on managed infrastructure (e.g. University, public or private cloud) or on service-oriented clusters (i.e. no direct access to compute instances). It leverages industry standard tooling and enables scalable compute workflows beyond AutoLFADS for groups looking to adopt a framework for scalable machine learning.
 
-If you are using a cloud provider, KubeFlow provides a series of [tutorials](https://www.kubeflow.org/docs/started/installing-kubeflow/#install-a-packaged-kubeflow-distribution) to get you setup with a completely configured install. We currently require a [feature](https://github.com/kubeflow/katib/pull/1833) that will be released in KubeFlow 1.6 (Katib 0.14). The below installation provides a pathway for installing KubeFlow on a _vanilla_ Kubernetes cluster integrating the noted changes.
+If you are using a cloud provider, KubeFlow provides a series of [tutorials](https://www.kubeflow.org/docs/started/installing-kubeflow/#install-a-packaged-kubeflow-distribution) to get you setup with a completely configured install. We currently require a [feature](https://github.com/kubeflow/katib/pull/1833) that was introduced in Katib 0.14. The below installation provides a pathway for installing KubeFlow on a _vanilla_ Kubernetes cluster integrating the noted changes.
 
 **Prerequisites:** Kubernetes cluster access and Ansible (installed locally; only needed when deploying KubeFlow)
 

kubeflow/roles/kubeflow/README.md

@@ -2,7 +2,7 @@
 
 [![](https://img.shields.io/badge/Kubeflow-v1.5.0--rc.0-informational)](https://github.com/kubeflow/manifests/releases/tag/v1.5.0-rc.0)
 
-This playbook provides a core kubeflow installation. Specific components are removed (Notebooks, KNative, KFServing) as they are unused in our lab, but can be added back in by modifying the `files/kubeflow/kustomization.yaml`.
+This playbook provides a core _kubeflow_ installation. Specific components are removed (Notebooks, KNative, KFServing) as they are unused in this example, but can be added back in by modifying the `files/kubeflow/kustomization.yaml`.
 
 ## Requirements
 
@@ -31,18 +31,3 @@ ansible-playbook kubeflow.yml --extra-vars "run_option=uninstall"
 - Individual configurations can be inspected with kubctl using `kubectl kustomize <path>`
 - Individual targets can be directly applied using `kubectl apply -k <path>`
 - Quick inspection can be done using port forwarding: `kubectl port-forward svc/istio-ingressgateway -n istio-system --address 0.0.0.0 5901:80`
-
-
-## WIP: Deployment
-- Dex IDP (HAS CHANGES)
-- OIDC AuthService (HAS CHANGE FOR FUTURE DEPRECATION)
-- Pipelines (HAS CHANGE; BUT THIS SEEMS TO BE A BUG OR INCOMPLETE 1.22 SUPPORT)
-	NOTE: upstream/base/installs/multi-user/istio-authorization-config.yaml: ml-pipeline security is disabled...should be fixed
-- Central dashboard (Modified for deployment)
-- Admission webhook (HAS CHANGES)
-- Tensorboard controller (HAS CHANGES)
-- MPI Operator (README section should be deleted upstream...)
-- Default User Namespace (ns: `kubeflow-user-example-com`, un: `[email protected]`, pw: `12341234` )
-
-TODO: expose endpoint
-- staging files need to be manually deleted from nuc-03:/tmp

kubeflow/roles/kubeflow/files/kubeflow/manifests/apps/katib/upstream/components/controller/katib-config.yaml

@@ -7,13 +7,13 @@ data:
   metrics-collector-sidecar: |-
     {
       "StdOut": {
-        "image": "docker.io/kubeflowkatib/file-metrics-collector:latest"
+        "image": "docker.io/kubeflowkatib/file-metrics-collector:v0.14.0"
       },
       "File": {
-        "image": "docker.io/kubeflowkatib/file-metrics-collector:latest"
+        "image": "docker.io/kubeflowkatib/file-metrics-collector:v0.14.0"
       },
       "TensorFlowEvent": {
-        "image": "docker.io/kubeflowkatib/tfevent-metrics-collector:v0.13.0",
+        "image": "docker.io/kubeflowkatib/tfevent-metrics-collector:v0.14.0",
         "resources": {
           "limits": {
             "memory": "1Gi"
@@ -24,39 +24,39 @@ data:
   suggestion: |-
     {
       "random": {
-        "image": "docker.io/kubeflowkatib/suggestion-hyperopt:v0.13.0"
+        "image": "docker.io/kubeflowkatib/suggestion-hyperopt:v0.14.0"
       },
       "tpe": {
-        "image": "docker.io/kubeflowkatib/suggestion-hyperopt:v0.13.0"
+        "image": "docker.io/kubeflowkatib/suggestion-hyperopt:v0.14.0"
       },
       "grid": {
-        "image": "docker.io/kubeflowkatib/suggestion-chocolate:v0.13.0"
+        "image": "docker.io/kubeflowkatib/suggestion-chocolate:v0.14.0"
       },
       "hyperband": {
-        "image": "docker.io/kubeflowkatib/suggestion-hyperband:v0.13.0"
+        "image": "docker.io/kubeflowkatib/suggestion-hyperband:v0.14.0"
       },
       "bayesianoptimization": {
-        "image": "docker.io/kubeflowkatib/suggestion-skopt:v0.13.0"
+        "image": "docker.io/kubeflowkatib/suggestion-skopt:v0.14.0"
       },
       "cmaes": {
-        "image": "docker.io/kubeflowkatib/suggestion-goptuna:v0.13.0"
+        "image": "docker.io/kubeflowkatib/suggestion-goptuna:v0.14.0"
       },
       "sobol": {
-        "image": "docker.io/kubeflowkatib/suggestion-goptuna:v0.13.0"
+        "image": "docker.io/kubeflowkatib/suggestion-goptuna:v0.14.0"
       },
       "multivariate-tpe": {
-        "image": "docker.io/kubeflowkatib/suggestion-optuna:v0.13.0"
+        "image": "docker.io/kubeflowkatib/suggestion-optuna:v0.14.0"
       },
       "enas": {
-        "image": "docker.io/kubeflowkatib/suggestion-enas:v0.13.0",
+        "image": "docker.io/kubeflowkatib/suggestion-enas:v0.14.0",
         "resources": {
           "limits": {
             "memory": "200Mi"
           }
         }
       },
       "darts": {
-        "image": "docker.io/kubeflowkatib/suggestion-darts:v0.13.0"
+        "image": "docker.io/kubeflowkatib/suggestion-darts:v0.14.0"
       },
       "pbt": {
         "image": "docker.io/kubeflowkatib/suggestion-pbt:v0.14.0",
@@ -78,6 +78,6 @@ data:
   early-stopping: |-
     {
       "medianstop": {
-        "image": "docker.io/kubeflowkatib/earlystopping-medianstop:v0.13.0"
+        "image": "docker.io/kubeflowkatib/earlystopping-medianstop:v0.14.0"
       }
     }

kubeflow/roles/nfs/README.md

@@ -23,7 +23,3 @@ ansible-playbook nfs_storage_class.yml --extra-vars "run_option=install"
 # Cluster should first be initialized using: `ops init <cluster>`
 ansible-playbook nfs_storage_class.yml --extra-vars "run_option=uninstall"
 ```
-
-## WIP: Deployment
-- Test should be run on installation
-- Volumes should be reflected in variables specific to initialized deployment (e.g. staging, production)