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#!/bin/bash | |
# stop on error | |
set -e | |
############################################ | |
# install the required packages | |
sudo apt-get update && sudo apt-get -y upgrade | |
sudo apt-get -y install linux-headers-$(uname -r) linux-image-extra-`uname -r` | |
# install cuda | |
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_7.5-18_amd64.deb | |
sudo dpkg -i cuda-repo-ubuntu1404_7.5-18_amd64.deb | |
rm cuda-repo-ubuntu1404_7.5-18_amd64.deb | |
sudo apt-get update | |
sudo apt-get install -y cuda | |
# get cudnn | |
CUDNN_FILE=cudnn-7.0-linux-x64-v4.0-prod.tgz | |
wget http://developer.download.nvidia.com/compute/redist/cudnn/v4/${CUDNN_FILE} | |
tar xvzf ${CUDNN_FILE} | |
rm ${CUDNN_FILE} | |
sudo cp cuda/include/cudnn.h /usr/local/cuda/include # move library files to /usr/local/cuda | |
sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64 | |
sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn* | |
rm -rf cuda | |
# set the appropriate library path | |
echo 'export CUDA_HOME=/usr/local/cuda | |
export CUDA_ROOT=/usr/local/cuda | |
export PATH=$PATH:$CUDA_ROOT/bin:$HOME/bin | |
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_ROOT/lib64 | |
' >> ~/.bashrc | |
# install anaconda | |
wget http://repo.continuum.io/archive/Anaconda2-4.2.0-Linux-x86_64.sh | |
bash Anaconda2-4.2.0-Linux-x86_64.sh -b -p /home/ubuntu/.anaconda2 | |
rm Anaconda2-4.2.0-Linux-x86_64.sh | |
echo 'export PATH="/home/ubuntu/.anaconda2/bin:$PATH"' >> ~/.bashrc | |
# install tensorflow | |
export TF_BINARY_URL='https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl' | |
/home/ubuntu/.anaconda2/bin/pip install $TF_BINARY_URL | |
# install monitoring programs | |
sudo wget https://git.io/gpustat.py -O /usr/local/bin/gpustat | |
sudo chmod +x /usr/local/bin/gpustat | |
sudo nvidia-smi daemon | |
sudo apt-get -y install htop | |
# reload .bashrc | |
exec bash |
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