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sparse_setup.sh
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#https://gist.github.com/bzamecnik/b0c342d22a2a21f6af9d10eba3d4597b
#new cuda version needed
#install driver:
wget http://us.download.nvidia.com/tesla/390.12/nvidia-diag-driver-local-repo-ubuntu1604-390.12_1.0-1_amd64.deb
sudo apt-key add /var/nvidia-diag-driver-local-repo-390.12/7fa2af80.pub
sudo dpkg -i nvidia-diag-driver-local-repo-ubuntu1604-390.12_1.0-1_amd64.deb
sudo apt-get update
sudo apt-get install cuda-drivers
sudo reboot
## step 2
nvidia-smi
echo "Check output of nvidia-smi"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_9.1.85-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1604_9.1.85-1_amd64.deb
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
sudo apt-get update
sudo apt-get install cuda
sudo reboot
#afterwards export of path needed:
curl -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
echo "Installing miniconda in default location ~/miniconda3"
bash ./Miniconda3-latest-Linux-x86_64.sh -b
echo "Adding conda and cuda in PATH in bashrc"
export PATH=/usr/local/cuda-9.1/bin${PATH:+:${PATH}} >> ~/.bashrc
export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64{LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} >> ~/.bashrc
echo 'export PATH=~/miniconda3/bin:$PATH' >> ~/.bashrc
source ~/.bashrc
conda install -y numpy=1.14.0 opencv=3.3.1
conda install -y -c anaconda pillow=5.0.0 pandas=0.22.0 jupyter=1.0.0
conda install -y -c conda-forge matplotlib=2.1.1 cycler=0.10.0 progressbar2=3.34.3
conda install pytorch
git clone https://github.com/saurabheights/DiabeticRetinopathyDetection/
git clone https://github.com/facebookresearch/SparseConvNet
cd SparseConvNet/PyTorch
sudo apt-get install libsparsehash-dev
sudo apt-get install unrar
pip install git+https://github.com/pytorch/tnt.git@master
python setup.py develop
#https://gist.github.com/bzamecnik/b0c342d22a2a21f6af9d10eba3d4597b
#new cuda version needed
#install driver:
wget http://us.download.nvidia.com/tesla/390.12/nvidia-diag-driver-local-repo-ubuntu1604-390.12_1.0-1_amd64.deb
sudo apt-key add /var/nvidia-diag-driver-local-repo-390.12/7fa2af80.pub
sudo dpkg -i nvidia-diag-driver-local-repo-ubuntu1604-390.12_1.0-1_amd64.deb
sudo apt-get update
sudo apt-get install cuda-drivers
sudo reboot
## step 2
nvidia-smi
echo "Check output of nvidia-smi"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_9.1.85-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1604_9.1.85-1_amd64.deb
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
sudo apt-get update
sudo apt-get install cuda
sudo reboot
#afterwards export of path needed:
curl -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
echo "Installing miniconda in default location ~/miniconda3"
bash ./Miniconda3-latest-Linux-x86_64.sh -b
echo "Adding conda and cuda in PATH in bashrc"
export PATH=/usr/local/cuda-9.1/bin${PATH:+:${PATH}} >> ~/.bashrc
export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64{LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} >> ~/.bashrc
echo 'export PATH=~/miniconda3/bin:$PATH' >> ~/.bashrc
source ~/.bashrc
conda install -y numpy=1.14.0 opencv=3.3.1
conda install -y -c anaconda pillow=5.0.0 pandas=0.22.0 jupyter=1.0.0
conda install -y -c conda-forge matplotlib=2.1.1 cycler=0.10.0 progressbar2=3.34.3
conda install pytorch
git clone https://github.com/saurabheights/DiabeticRetinopathyDetection/
git clone https://github.com/facebookresearch/SparseConvNet
cd SparseConvNet/PyTorch
sudo apt-get install libsparsehash-dev
sudo apt-get install unrar
pip install git+https://github.com/pytorch/tnt.git@master
python setup.py develop