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Alex Punnen alexcpn

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@alexcpn
alexcpn / index.html
Last active April 5, 2019 10:53
GRPC- Web JS client
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<link rel="shortcut icon" href="#" />
<title>Echo Example</title>
<script src="https://code.jquery.com/jquery-1.9.1.min.js"></script>
<script type="text/javascript" src="compiled.js"></script>
<script type="text/javascript">
@alexcpn
alexcpn / ssd_client.py
Created April 23, 2019 19:33
""" GRPC Client for SSD TF Serving Model"""
from __future__ import division
__author__ = "Alex Punnen"
__date__ = "March 2019"
import grpc
import numpy
import tensorflow as tf
import time
@alexcpn
alexcpn / Scrum
Last active August 13, 2019 05:59
Scrum Master and Scrum Slaves,
Yellow all walls with notes,
Step aside and see with glee,
The horror on the janitor's face.
And from what his broom has spared,
Pick a note to work on,
Stand-up straight before the master
To report or descope in glee.
@alexcpn
alexcpn / output.md
Created September 6, 2019 05:25
Kubernetes Local Specific Persistent Volume and Persistent Volume Claim

In Specific Node

core@alex-k8s-2 ~ $ vi /mnt/data2/index.html
core@alex-k8s-2 ~ $ cat /mnt/data2/index.html 
'Hello from Kubernetes Local storage'

PV,PVC,Status

@alexcpn
alexcpn / cloned_rook_gist.txt
Created September 9, 2019 10:52
Cloned rook ceph gist with small change
#!/bin/bash
# Generically install rook and test it out
: ${ROOK_BRANCH:=release-1.1}
TICK_CHAR='>'
mark_done () {
file_done=$1
date '+%s' > $file_done
echo 'done' >> $file_done
}
@alexcpn
alexcpn / README.md
Created March 29, 2019 06:09
Different types of image pre-processing for neural networks

#Server docker run --net=host --runtime=nvidia -it --rm -p 8900:8500 -p 8901:8501 -v /home/alex/coding/IPython_neuralnet/models:/models -e MODEL_NAME=retinanet tensorflow/serving:latest-gpu --rest_api_port=0 --enable_batching=true --model_config_file=/models/model_configs/retinanet.json

#Client

docker run -it --runtime=nvidia --net=host -v /home/alex/coding/IPython_neuralnet:/coding --rm alexcpn/tfserving-keras-retinanet-dev-gpu To run TF Client unset http_proxy unset https_proxy root@drone-OMEN:/coding/tfserving_client#python retinanet_client.py -num_tests=1 -server=127.0.0.1:8500 -batch_size=1 -img_path='../examples/google1.jpg'

@alexcpn
alexcpn / mnist_client.py
Last active September 24, 2019 04:29
# Simple TFServing example; Based on
# https://github.com/tensorflow/serving/blob/master/tensorflow_serving/example/mnist_client.py
# Added simpler mnist loading parts and removed some complexity
#!/usr/bin/env python2.7
"""A client that talks to tensorflow_model_server loaded with mnist model.
The client downloads test images of mnist data set, queries the service with
such test images to get predictions, and calculates the inference error rate.
Typical usage example:
@alexcpn
alexcpn / nvidia docker on 1070 GPU
Created October 9, 2019 08:18
Status: Downloaded newer image for nvidia/cuda:10.0-base
Wed Oct 9 08:11:31 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.78 Driver Version: 410.78 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1070 Off | 00000000:01:00.0 On | N/A |
| N/A 36C P8 9W / N/A | 306MiB / 8119MiB | 0% Default |
@alexcpn
alexcpn / operator from helm.md
Last active January 16, 2020 04:14
How to create a Helm based Operator
@alexcpn
alexcpn / gvisor in Kubernetes.md
Last active February 6, 2020 10:40
gvisor in Kubernetes

How To

https://gvisor.dev/docs/user_guide/quick_start/kubernetes/ Using Containerd

You can also setup Kubernetes nodes to run pods in gvisor using the containerd CRI runtime and the gvisor-containerd-shim. You can use either the io.kubernetes.cri.untrusted-workloadannotation or RuntimeClass to run Pods with runsc. You can find instructions here.

[centos@azuretest-1 root]$ kubectl get nodes -o wide NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME azuretest-1 Ready master 40d v1.17.0 192.168.0.26 CentOS Linux 7 (Core) 3.10.0-957.27.2.el7.x86_64 docker://1.13.1 azuretest-2 Ready 40d v1.17.0 192.168.0.6 CentOS Linux 7 (Core) 3.10.0-957.27.2.el7.x86_64 docker://1.13.1