iamgroot42

#!/bin/bash

#SBATCH --ntasks=1
#SBATCH -A uvasrg

# Total memory requested on system
# Maximum 4 nodes per job allowed
# Maximum 32GB/core allowed
#SBATCH --mem=32G

iamgroot42

#!/bin/bash
read -s password
myfun()
{
        f="$(mktemp /tmp/check.XXXXXX)"
        nvidia-smi -q -x > $f
        python -c "import xml.etree.ElementTree as ET; tree = ET.parse('$f'); root = tree.getroot(); import os; myname =  os.uname()[1].split('.')[0]; z = [myname+'['+child.find('minor_number').text+'] : '+child.find('fb_memory_usage').find('free').text+'/'+child.find('fb_memory_usage').find('total').text for child in root.findall('gpu')]; print('\n'.join(z) + '\n')"
}
sshpass -p $password ssh -o StrictHostKeyChecking=no $1@gpusrv01.cs.virginia.edu "$(typeset -f); myfun" &
sshpass -p $password ssh -o StrictHostKeyChecking=no $1@gpusrv02.cs.virginia.edu "$(typeset -f); myfun" &

iamgroot42

import numpy as np
import random
import getpass
import requests
import time

from telegram import Bot, ParseMode
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters

iamgroot42

from telegram.ext import Updater, CommandHandler
import requests
import time
from bs4 import BeautifulSoup

import logging
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO)

cities = ["national-capital-region-ncr", "hyderabad", "bengaluru"]
BOOKING_URL = "https://in.bookmyshow.com/CITY/movies/avengers-endgame/ET00090482"

iamgroot42

INFO - 02/22/19 01:59:59 - 0:00:00 - ============ Initialized logger ============
INFO - 02/22/19 01:59:59 - 0:00:00 - adversarial: True
                                     batch_size: 32
                                     cuda: True
                                     dico_build: S2T
                                     dico_eval: default
                                     dico_max_rank: 0
                                     dico_max_size: 0
                                     dico_method: csls_knn_10
                                     dico_min_size: 0

iamgroot42

#!/bin/bash

# Install pre-requisites
sudo apt-get -y install gcc g++ python
sudo apt-get -y install mercurial python-setuptools git
sudo apt-get -y install qt5-default
sudo apt-get -y install python-pygraphviz python-kiwi python-pygoocanvas libgoocanvas-dev ipython
sudo apt-get -y install openmpi-bin openmpi-common openmpi-doc libopenmpi-dev
sudo apt-get -y install autoconf cvs bzr unrar
sudo apt-get -y install gdb valgrind 

iamgroot42

import tensorflow as tf
import keras

# Don't hog GPU
config = tf.ConfigProto()
config.gpu_options.allow_growth=True
sess = tf.Session(config=config)

# If using Keras, add this line:
keras.backend.set_session(sess)

iamgroot42

#!/bin/bash

pids=$(nvidia-smi | awk '$2=="Processes:" {p=1} p && $3 > 0 {print $3}' | grep -o '[0-9]*')

if [ ${#pids[@]} -gt 0 ]
then
        date >> GPU_LOGFILE
fi

for p in $pids

iamgroot42

import urllib
import urllib2
import time

time.sleep(1)

link = "http://www.gogole.com/"
req = urllib2.Request(link)
response = urllib2.urlopen(req)
a = response.read()

iamgroot42

#!/bin/bash

sudo apt-get -y update
sudo apt-get -y upgrade

sudo apt-get install -y build-essential cmake git pkg-config
sudo apt-get install -y libjpeg8-dev libtiff4-dev libjasper-dev libpng12-dev

sudo apt-get install -y libgtk2.0-dev
sudo apt-get install -y libavcodec-dev libavformat-dev libswscale-dev libv4l-dev