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# This is shorthened version of blog post 
#  http://ksopyla.com/2017/02/tensorflow-gpu-virtualenv-python3/

# update packages
sudo apt-get update
sudo apt-get upgrade

#Add the ppa repo for NVIDIA graphics driver
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update

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Setup reverse tunnel

Run the following in your client machine

ssh -R EXPOSED_PORT:localhost:SERVICE_PORT USER@HOST

Where

• EXPOSED_PORT is the port exposed to the internet in the proxy server
• SERVICE_PORT is the port your application is listening in your machine

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server {
    listen 443 ssl;

    server_name xxx.xx.io

    ssl on;
    ssl_certificate /etc/asterisk/certs/xxx.io.pem;
    ssl_certificate_key /etc/asterisk/certs/xxx.io.key;

    ssl_session_timeout 5m;

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Securing traffic to upstream servers with client certificates

Info: https://www.nginx.com/resources/admin-guide/nginx-https-upstreams/

Creating and Signing Your Certs

Source: http://nategood.com/client-side-certificate-authentication-in-ngi

This is SSL, so you'll need an cert-key pair for you/the server, the api users/the client and a CA pair. You will be the CA in this case (usually a role played by VeriSign, thawte, GoDaddy, etc.), signing your client's certs. There are plenty of tutorials out there on creating and signing certificates, so I'll leave the details on this to someone else and just quickly show a sample here to give a complete tutorial. NOTE: This is just a quick sample of creating certs and not intended for production.

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# Author:
#      Wim Looman
# Copyright:
#      Copyright (c) 2010 Wim Looman
# License:
#      GNU General Public License (see http://www.gnu.org/licenses/gpl-3.0.txt)

## User interface, just set the main filename and it will do everything for you
# If you have any extra code or images included list them in EXTRA_FILES
# This should work as long as you have all the .tex, .sty and .bib files in

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# Written by Brendan O'Connor, brenocon@gmail.com, www.anyall.org
#  * Originally written Aug. 2005
#  * Posted to gist.github.com/16173 on Oct. 2008

#   Copyright (c) 2003-2006 Open Source Applications Foundation
#
#   Licensed under the Apache License, Version 2.0 (the "License");
#   you may not use this file except in compliance with the License.
#   You may obtain a copy of the License at
#

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graph = {
    1: {2:1,5:1},
    2: {1:1,3:1,5:1},
    3: {2:1,4:1},
    4: {3:1,5:1,6:1},
    5: {1:1,2:1,4:1},
    6: {4:1}
}

time = 0

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import keras.backend as K
import multiprocessing
import tensorflow as tf

from gensim.models.word2vec import Word2Vec

from keras.callbacks import EarlyStopping
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Flatten
from keras.layers.convolutional import Conv1D

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# LVDB - LLOOGG Memory DB
# Copyriht (C) 2009 Salvatore Sanfilippo <antirez@gmail.com>
# All Rights Reserved

# TODO
# - cron with cleanup of timedout clients, automatic dump
# - the dump should use array startsearch to write it line by line
#   and may just use gets to read element by element and load the whole state.
# - 'help','stopserver','saveandstopserver','save','load','reset','keys' commands.
# - ttl with milliseconds resolution 'ttl a 1000'. Check ttl in dump!

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#ifndef __GZIP_H__
#define __GZIP_H__

#include <sstream>
#include <boost/iostreams/filtering_streambuf.hpp>
#include <boost/iostreams/copy.hpp>
#include <boost/iostreams/filter/gzip.hpp>

class Gzip {
public: