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Install CUDA Toolkit v8.0 and cuDNN v6.0 on Ubuntu 16.04
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#!/bin/bash | |
# install CUDA Toolkit v8.0 | |
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network)) | |
CUDA_REPO_PKG="cuda-repo-ubuntu1604-8-0-local-ga2_8.0.61-1_amd64.deb" | |
wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/${CUDA_REPO_PKG} | |
sudo dpkg -i ${CUDA_REPO_PKG} | |
sudo apt-get update | |
sudo apt-get -y install cuda | |
# install cuDNN v5.1 | |
CUDNN_TAR_FILE="cudnn-8.0-linux-x64-v5.1-tgz" | |
wget https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v5.1/prod_20161129/8.0/${CUDNN_TAR_FILE} | |
tar -xzvf ${CUDNN_TAR_FILE} | |
sudo cp cuda/include/* /usr/local/cuda/include | |
sudo cp cuda/lib64/* /usr/local/cuda/lib64/ | |
# set environment variables | |
export CUDA_HOME=/usr/local/cuda-8.0 | |
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_HOME/lib64:$CUDA_HOME/extras/CUPTI/lib64 | |
export PATH=$CUDA_HOME/bin:$PATH | |
#Necessary: | |
#sudo apt-get install libcupti-dev | |
#conda create -n tensorflow python=3.6 | |
# wget https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.3.0-cp35-cp35m-linux_x86_64.whl | |
# pip install tensorflow_gpu-1.3.0-cp35-cp35m-linux_x86_64.whl |
Unable to uninstall cuda 9.0 completely and install 8.0 instead
Found the solution:
I reinstalled nvidia-381, CUDA-8.0 (using the runfile) and cuDNN 6.0. Then I added the following in my .bashrc:
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64/
sudo apt install nvidia-cuda-dev
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Check CUDA toolkit versions
https://developer.nvidia.com/cuda-toolkit-archive