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#!/usr/bin/env bash | |
# Usage: ./blink.sh your_command_here args... | |
# Color definitions | |
RED='\033[0;31m' | |
GREEN='\033[0;32m' | |
YELLOW='\033[0;33m' | |
BLUE='\033[0;34m' | |
PURPLE='\033[0;35m' |
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#!/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 |
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#!/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" & |
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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 |
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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" |
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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 |
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#!/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 |
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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) |
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#!/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 |
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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() |
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