Christos Baziotis cbaziotis

This is a guide for installing OpenCV 3.1 on Ubuntu 16.04 with Cuda 8 support. This has been tested using a system with a GeForce GTX 1060 and on one with a GeForce GTX 1080.

Nvidia Drivers with Compiz

Install Nvidia drivers

# Start clean
sudo apt purge nvidia-*
# Add the PPA
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

	import subprocess
	import sys

	tokenizer_path = sys.argv[1] # Path to the moses tokenizer mosesdecoder/scripts/tokenizer.perl
	text = sys.argv[2] # Text to be tokenized
	lang = sys.argv[3] # Input language ex: en, fr, de

	pipe = subprocess.Popen(["perl", tokenizer_path, '-l', lang, text], stdin=subprocess.PIPE, stdout=subprocess.PIPE)
	pipe.stdin.write(text.encode('utf-8'))
	pipe.stdin.close()

	from __future__ import print_function

	from keras import backend as K
	from keras.engine import Input, Model, InputSpec
	from keras.layers import Dense, Activation, Dropout, Lambda
	from keras.layers import Embedding, LSTM
	from keras.optimizers import Adam
	from keras.preprocessing import sequence
	from keras.utils.data_utils import get_file
	from keras.datasets import imdb

	class AttentionLSTM(LSTM):
	"""LSTM with attention mechanism

	This is an LSTM incorporating an attention mechanism into its hidden states.
	Currently, the context vector calculated from the attended vector is fed
	into the model's internal states, closely following the model by Xu et al.
	(2016, Sec. 3.1.2), using a soft attention model following
	Bahdanau et al. (2014).

	The layer expects two inputs instead of the usual one:

-git rm --cached file-name.txt
-git rm -r --cached folder-name
-git commit -m "removed file-name and/or folder-name"
-git push origin master or branch-name

	# This is inspired by the fantastic guide https://github.com/saiprashanths/dl-setup
	# I have just updated the python-related commands so that everything works in Python 3.
	# Tested on Xubuntu 16.04.

	# First of all let's update the repos:
	sudo apt-get update

	# Only if you have a CUDA-compatible Nvidia card, install CUDA.
	# Check on the Nvidia website what is the latest driver version which supports your card.
	# At the time of this writing it was 367.

	import numpy as np
	import pylab as pl
	import pandas as pd

	from sklearn import svm
	from sklearn import linear_model
	from sklearn import tree

	from sklearn.metrics import confusion_matrix

Christos Baziotis cbaziotis

Nvidia Drivers with Compiz

Table of Contents