kingspp

#!/bin/bash

# Install required softwares
sudo apt-get update
sudo apt-get install fish -y
sudo chsh -s /usr/bin/fish

# Setup static IP - 
# LAN -  192.168.0.99
# WLAN - 192.168.0.199

kingspp

#!/usr/bin/env bash

# Install Open MPI v4
wget https://download.open-mpi.org/release/open-mpi/v4.0/openmpi-4.0.0.tar.gz
tar -xvf openmpi-4.0.0.tar.gz
cd openmpi-4.0.0
./configure --prefix=/usr/local
make all
sudo make install
sudo ldconfig

kingspp

#!/usr/bin/env bash
# Remove and Install nvidia-docker2
#========================================================================================================================================
# If you have nvidia-docker 1.0 installed: we need to remove it and all existing GPU containers
docker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -f
sudo apt-get purge -y nvidia-docker

# Add the package repositories
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
  sudo apt-key add -

kingspp

# No Proper documentation on installing horovod with spark support
# Reference - https://github.com/uber/horovod/blob/master/docs/spark.md

# Corrupt Java installtion - 
sudo apt-add-repository ppa:webupd8team/java
sudo apt-get update
sudo apt-get install oracle-java8-installer

# Install Spark
wget http://mirrors.estointernet.in/apache/spark/spark-2.4.0/spark-2.4.0-bin-hadoop2.7.tgz

kingspp

# Install fish
cd /etc/yum.repos.d/
sudo wget https://download.opensuse.org/repositories/shells:fish:release:2/RedHat_RHEL-6/shells:fish:release:2.repo
sudo yum install fish

# Update locatedb
sudo ionice -c3 updatedb

# Install g++
sudo yum install gcc72-c++

kingspp

#!/usr/bin/env bash

# Install Open MPI v4
wget https://download.open-mpi.org/release/open-mpi/v4.0/openmpi-4.0.0.tar.gz
tar -xvf openmpi-4.0.0.tar.gz
cd openmpi-4.0.0
./configure --prefix=/usr/local
make all
sudo make install
sudo ldconfig

kingspp

def humanize_time_delta(td_object):
    seconds = td_object
    periods = [
        ('year', 60 * 60 * 24 * 365),
        ('month', 60 * 60 * 24 * 30),
        ('day', 60 * 60 * 24),
        ('hour', 60 * 60),
        ('minute', 60),
        ('second', 1),
        ('milli_second', 1 / 10 ** 3),

kingspp

import typing
import tensorflow as tf


def validate_fetch(fetch_ops: typing.Union[str, list, dict, tf.Tensor]):
    if isinstance(fetch_ops, str):
        if not len(fetch_ops) > 0:
            raise Exception("Fetch Op is an empty string")
        return fetch_ops
    elif isinstance(fetch_ops, tf.Tensor):

kingspp

import re


def generate_label_from_name(name: str):
    """

    :param name: Name for which label has to be generate
    :return:
    """
    caps_split = sum([list(match) for match in re.findall('([A-Z][^A-Z][a-z]*)|([0-9][A-Z][^A-Z][a-z]*)|([0-9][A-Z][a-z]*)', name)], [])

kingspp

from tensorflow.examples.tutorials.mnist import input_data
import pandas as pd
import numpy as np

def convert_tensorflow_mnist_train_data_to_csv(path_to_save:str):
    mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)
    data = pd.DataFrame(mnist.train.images)
    label = pd.DataFrame(mnist.train.labels)
    df = pd.concat([data, label], axis=1)
    df.columns = ['D_{}'.format(i) for i in range(784)] + ['L_{}'.format(i) for i in range(10)]