python install tip

cuda8-cuddn6-python-tensorflow-install-tip.txt

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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_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda-8-0

# install cuDNN v6.0
CUDNN_TAR_FILE="cudnn-8.0-linux-x64-v6.0.tgz"
wget http://developer.download.nvidia.com/compute/redist/cudnn/v6.0/${CUDNN_TAR_FILE}
tar -xzvf ${CUDNN_TAR_FILE}
sudo cp -P cuda/include/cudnn.h /usr/local/cuda-8.0/include
sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda-8.0/lib64/
sudo chmod a+r /usr/local/cuda-8.0/lib64/libcudnn*

# set environment variables
export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64\${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
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#---------------------------- new on anaconda ---------------
conda install pytorch torchvision -c pytorch
conda install -c conda-forge tensorflow-gpu
#---------------------------------------------------------------



# ubuntu cuda8 cudnn5 tensorflow1.2

# TF
$ pip install --upgrade  https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.0-cp27-none-linux_x86_64.whl

# scikit
$ conda install scikit-image

# kera
$ conda install -c conda-forge keras 

# check 
#  https://www.nvidia.com/en-us/data-center/gpu-accelerated-applications/tensorflow/