Preliminary Updates and Installations
(http://markus.com/install-theano-on-aws/)
sudo apt-get update
sudo apt-get -y dist-upgrade
sudo apt-get install -y gcc g++ gfortran build-essential git wget linux-image-generic libopenblas-dev python-dev python-pip python-nose python-numpy python-scipy python3-dev python3-pip python3-nose python3-numpy python3-scipy
Installing NVIDIA CUDA and Theano
sudo pip install --upgrade --no-deps git+git://github.com/Theano/Theano.git
sudo wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_7.0-28_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1404_7.0-28_amd64.deb
sudo apt-get update
sudo apt-get install -y cuda
echo -e "\nexport PATH=/usr/local/cuda/bin:$PATH\n\nexport LD_LIBRARY_PATH=/usr/local/cuda/lib64" >> .bashrc
sudo reboot
cuda-install-samples-7.0.sh ~/
cd NVIDIA\_CUDA-7.0\_Samples/1\_Utilities/deviceQuery
make
./deviceQuery
echo -e "\n[global]\nfloatX=float32\ndevice=gpu\n[mode]=FAST_RUN\n\n[nvcc]\nfastmath=True\n\n[cuda]\nroot=/usr/local/cuda" >> ~/.theanorc
Installing cuDNN
(https://developer.nvidia.com/cuDNN)
scp -i ~/.ssh/aws.pem ~/Downloads/cudnn.tar.gz ubuntu@ec2-52-17-84-162.eu-west-1.compute.amazonaws.com:/home/ubuntu
gzip -d file.tar.gz
tar xf file.tar
echo -e "\nexport LD_LIBRARY_PATH=/home/ubuntu/cudnn-6.5-linux-x64-v2:$LD_LIBRARY_PATH" >> ~/.bashrc
sudo cp cudnn.h /usr/local/cuda-7.0/include
sudo cp libcudnn* /usr/local/cuda-7.0/lib64
(http://caffe.berkeleyvision.org/installation.html#compilation)
Installing caffe
(http://caffe.berkeleyvision.org/install_apt.html)
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev libhdf5-serial-dev
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev protobuf-compiler
sudo apt-get install libatlas-base-dev
git clone --branch v0.11.0 https://github.com/NVIDIA/caffe.git
cd ~/caffe/python
for req in $(cat requirements.txt); do sudo pip install $req; done
cd ~/caffe
cp Makefile.config.example Makefile.config
make all
make py
make test
make runtest
echo -e "\nexport CAFFE_HOME=/home/ubuntu/caffe" >> ~/.bashrc
Installing DIGITS
(http://on-demand.gputechconf.com/gtc/2015/webinar/gtc-express-digits-webinar.pdf) (https://devtalk.nvidia.com/default/topic/826167/announcements/recordings-of-new-gpu-computing-webinars-now-available-/)
git clone https://github.com/NVIDIA/DIGITS.git digits
cd digits
sudo apt-get install graphviz gunicorn
for req in $(cat requirements.txt); do sudo pip install $req; done
chmod -R 777 /home/ubuntu/.digits