Quick cheatsheet

Run this bash script to install theano, lasagne, nolearn: (Testing machine: 64-bit Ubuntu 14.04)

#!/bin/bash
# Easy installation on Ubuntu 14.04 server

### Requirements ###
cd
sudo apt-get update
sudo apt-get install -y python-numpy
if [ $? -eq 100 ]; then 
  sudo mv /var/cache/apt/archives/lock /var/cache/apt/archives/lock_bak
  sudo apt-get install -y python-numpy
fi
sudo apt-get install -y cython python-matplotlib ipython ipython-notebook python-pandas python-sympy python-scipy python-dev python-pip python-nose g++ libopenblas-dev git libblas-dev liblapack-dev libatlas-base-dev gfortran libjpeg8-dev libfreetype6-dev libpng12-dev pkg-config

### Install Theano, Lasagne, Nolearn ###
# If you want to install local packages, please use `virtualenv` or use `pip install --user`
sudo pip install -r https://raw.githubusercontent.com/dnouri/nolearn/master/requirements.txt
sudo pip install git+https://github.com/dnouri/nolearn.git@master#egg=nolearn==0.6a0.dev0
sudo pip install matplotlib
sudo pip install --upgrade theano

Default device is CPU. To use GPU, please create a file ~/.theanorc:^[1]

[global]
mode=FAST_RUN
device=gpu
floatX=float32
[lib]
cnmem = 0.01
[nvcc]
fastmath = True

Run the check_gpu.py to check using GPU or not: ^[2]

# Filename: check_gpu.py
from theano import function, config, shared, sandbox
import theano.tensor as T
import numpy
import time

vlen = 10 * 30 * 768  # 10 x #cores x # threads per core
iters = 1000

rng = numpy.random.RandomState(22)
x = shared(numpy.asarray(rng.rand(vlen), config.floatX))
f = function([], T.exp(x))
print(f.maker.fgraph.toposort())
t0 = time.time()
for i in range(iters):
    r = f()
t1 = time.time()
print("Looping %d times took %f seconds" % (iters, t1 - t0))
print("Result is %s" % (r,))
if numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]):
    print('Used the cpu')
else:
    print('Used the gpu')

[1] http://deeplearning.net/software/theano/library/config.html#config.device

[2] http://deeplearning.net/software/theano/tutorial/using_gpu.html#testing-theano-with-gpu