AICoE Hackfest (XJKLS)

step 1:- go to github.com/sub-mod/rhte-hackfest/

step 2:- access tekton dashboard and openshift cluster

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Login to Openshift cluster

oc login https://api.cluster-rhtegpu-0e4c.rhtegpu-0e4c.open.redhat.com:6443 
username: user1  
password:  
namespace: tekton-demo  
sa:  tekton-demo  

'oc' client: https://api.cluster-rhtegpu-0e4c.rhtegpu-0e4c.open.redhat.com:6443   
user name : 'opentlc-mgr'   

oc create sa <abc>
oc adm policy add-scc-to-user privileged -z <abc> -n <NS>  
oc adm policy add-role-to-user edit -z <abc> -n <NS> 

Openshift Master Console:

http://console-openshift-console.apps.cluster-rhtegpu-0e4c.rhtegpu-0e4c.open.redhat.com

Tekton-Dashboard

http://tekton-tekton-pipelines.apps.cluster-rhtegpu-0e4c.rhtegpu-0e4c.open.redhat.com/#/pipelines

Tensorflow Project:

https://github.com/sub-mod/tf-mnist

Some project Ideas

Project 1: Build a ML workflow using tektonCD on Openshift 4 with tf-mnist project.
Project 2: Build a simple golang based operator using operator-sdk for ML workflow using buildconfig on Openshift 4 with tf-mnist project.

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Download oc client from

https://mirror.openshift.com/pub/openshift-v4/clients/ocp/4.1.14/openshift-client-linux-4.1.14.tar.gz

Tekton examples

https://gist.github.com/sub-mod/45baf9a187bd64b48dcb738867239d17
https://github.com/tektoncd/catalog
https://github.com/openshift/pipelines-catalog
https://github.com/sub-mod/openshift-pipelines-examples
https://github.com/sub-mod/tf-tekton
https://github.com/sub-mod/tf-mnist/tree/master/tekton

S2I workflow for Tensorflow Applications

https://mojo.redhat.com/groups/red-hat-artificial-intelligence-center-of-excellence-ai-coe/projects/thoth/blog/2019/09/12/s2i-workflows-for-tensorflow-applications