Subin sub-mod

Here is an example of doing it on Fedora.

Go to https://access.redhat.com/management/systems/
Click on your system which has subscription attached.
Download the subscription certificate to your non-RHEL host(laptop).
Extract all files and then only place the *.pem file to e.g. ${ENT_DIR}/${ID}.pem
more info here https://www.openshift.com/blog/how-to-use-entitled-image-builds-to-build-drivercontainers-with-ubi-on-openshift

laptop# cat /etc/redhat-release

# cat /proc/12249/maps
00400000-00401000 r-xp 00000000 fd:03 1734922135                         /opt/rh/rh-python36/root/usr/bin/python3.6
00601000-00602000 r--p 00001000 fd:03 1734922135                         /opt/rh/rh-python36/root/usr/bin/python3.6
00602000-00603000 rw-p 00002000 fd:03 1734922135                         /opt/rh/rh-python36/root/usr/bin/python3.6
015fa000-175d0000 rw-p 00000000 00:00 0                                  [heap]
200000000-200200000 ---p 00000000 00:00 0
200200000-200400000 rw-s 00000000 00:06 35902                            /dev/nvidiactl
200400000-200600000 rw-s 00000000 00:06 35903                            /dev/nvidia0
200600000-203e00000 rw-s 00000000 00:06 35902                            /dev/nvidiactl

some thing like this would cause invalid input params: param types don''t match the user-specified type in pipeline webhook controller which simply can't parse the type

---
apiVersion: tekton.dev/v1alpha1
kind: PipelineRun
metadata:
  name: params-example
spec:

Use cuda:10.0-cudnn7-devel-centos7 container

docker run -it -u 0 docker.io/nvidia/cuda:10.0-cudnn7-devel-centos7 /bin/bash

Setup LD_LIBRARY_PATH and Links

yum install -y centos-release-scl
yum install -y devtoolset-7 rh-python36 mlocate
source scl_source enable devtoolset-7 rh-python36

Setup CodeReady Containers -1.14.0 on Remote Server and connect from Laptop.
These steps work for Fedora 31.

Setup On the remote host
Setup On the Laptop

On-the-remote-host

Kubernetes SharedInformer

Overview

SharedInformer has a shared data cache, and is able to distribute notifications for changes to the cache to multiple listeners who have registered to it. SharedInformer is also a "Producer-Consumer" framework, using Controller as Producer to produce the Events (, or changes to the cache).

Kubernetes Reflector

Reflector is a key component for Kubernetes clients, kube-scheduler and Replication Controller. Reflector is in the middle between client and Kubernetes API-server. It provides a framework to monitor the changes of the Kubernetes cluster.

Definition of Reflector

Here is the definition of Reflector.

As shown in the definition, there are two important compoents of a Reflector:

Slide from Google : http://files.informatandm.com/uploads/2019/5/Apr_18_Dan_Lorenc_The_Future_of_Cloud_Native_CI_CD.pdf
Blog IBM : https://developer.ibm.com/tutorials/knative-build-app-development-with-tekton/

Openshift Namespace

namespace: tekton-demo  
sa:  tekton-demo

	// use nvidia/cuda:10.0-cudnn7-devel-centos7 as BASE


	// Ensure below paths are set to access nvcc at $CUDA_HOME/bin
	export CUDA_HOME=/usr/local/cuda
	export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
	export PATH=$PATH:$CUDA_HOME/bin

	// Install mentions GCC>=4.9. update to devtoolset-7
	// use python 3.6

	INFO:tensorflow:Restoring parameters from ./models/model.ckpt-500
	I0106 15:55:19.536532 140690754516544 saver.py:1284] Restoring parameters from ./models/model.ckpt-500
	INFO:tensorflow:Running local_init_op.
	I0106 15:55:20.502651 140690754516544 session_manager.py:500] Running local_init_op.
	INFO:tensorflow:Done running local_init_op.
	I0106 15:55:20.614528 140690754516544 session_manager.py:502] Done running local_init_op.
	INFO:tensorflow:Performing evaluation on 22 images.
	I0106 15:55:23.292874 140683104995072 coco_evaluation.py:205] Performing evaluation on 22 images.
	creating index...
	index created!