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#!/bin/sh
# Add some niceties for a new NVIDIA Jetson TK1 - LT 19.3
# sudo ./configureJetsonTK1.sh 
# Note:
# -- Check DNS in /etc/resolv.conf if cannot connect to ports.ubuntu.com
# -- a
 
# Don't allow apt-get upgrade of xorg overwrite libglx.so
# May be fixed in future versions of LT4
sudo apt-mark hold xserver-xorg-core

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# original post: http://blog.hostonnet.com/uninstall-gui-from-ubuntu-14-04-lts
sudo apt-get purge -y lightdm
sudo shutdown -r now

sudo apt-get clean
sudo apt-get autoclean

apt-get purge -y unity*
sudo apt-get purge -y unity*
sudo apt-get purge -y gnome-*

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wget https://bootstrap.pypa.io/get-pip.py
sudo python get-pip.py
sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose
sudo pip install Theano ; sudo pip install pymc ; sudo pip install pycrypto ; sudo pip install Cython ; sudo pip install image;
sudo pip install Scrapy ;sudo pip install virtualenv; sudo pip install virtualenv-clone; sudo pip install virtualenvwrapper;
sudo pip install h5py;sudo pip install xlwt;sudo pip install lxml ;sudo pip install colorama; sudo pip install PyDot;
sudo pip install scikits.audiolab;
sudo pip install paramiko; sudo pip install readchar;

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Full tutorial of start a Jetson TK1: http://myzharbot.robot-home.it/blog/software/configuration-nvidia-jetson-tk1/

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# Install cuda 7
1. Download and install cuda 7 from here: https://developer.nvidia.com/cuda-downloads
2. add this to .bashrc or .bash_profile (I prefer the first one):
These 2 option will not work:
* export PATH=/Developer/NVIDIA/CUDA-7.0/bin:$PATH
* export DYLD_LIBRARY_PATH=/Developer/NVIDIA/CUDA-7.0/lib:$DYLD_LIBRARY_PATH
Replace by these:
export PATH=/usr/local/cuda/bin:$PATH
export DYLD_LIBRARY_PATH=/usr/local/cuda/lib:$DYLD_LIBRARY_PATH

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##############################################################
# Client
##############################################################
mkdir [repo] && cd [repo]
git init
git add -A
git commit -m "Init git repo"

##############################################################
# Server

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# Download: prebuilt spark+hadoop
From: https://spark.apache.org/downloads.html
Prefer prebuilt version, easier to deploy to all worker
 
# Configuration
1. Slaves configuration

* Client: 

 sudo adduser worker

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module purge
module load cmake/3.3.2
module load cuda/7.5
module load gcc/4.9.1
module load git
module load openblas

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# Loading the modules (these commands shuold be ran everytime you logged in)
module purge
module load StdEnv
module load gcc/4.8.2
module load git/1.9.2
module load python-env
module load cuda/7.0
module load boost/1.58
module load openblas

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import theano
import theano.tensor as T
from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams
from theano.tensor.signal.downsample import max_pool_2d
from theano.tensor.extra_ops import repeat
from theano.sandbox.cuda.dnn import dnn_conv

from time import time
import numpy as np
from matplotlib import pyplot as plt