ubuntu 16.04 安装 tensorflow-gpu 包括 CUDA ,CUDNN,CONDA

ubuntu 16.04 安装 tensorflow-gpu 包括 CUDA ,CUDNN,CONDA

显卡驱动装好了，如图：

英文原文链接：

https://github.com/williamFalcon/tensorflow-gpu-install-ubuntu-16.04

英文内容：
Tensorflow GPU install on ubuntu 16.04

update apt-get

sudo apt-get update

Install apt-get deps

sudo apt-get install openjdk-8-jdk git python-dev python3-dev python-numpy python3-numpy build-essential python-pip python3-pip python-virtualenv swig python-wheel libcurl3-dev   

install nvidia drivers

# The 16.04 installer works with 16.10.
curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
dpkg -i ./cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
apt-get update
apt-get install cuda -y

2a. check nvidia driver install

nvidia-smi

you should see a list of gpus printed

if not, the previous steps failed.

install cuda toolkit (MAKE SURE TO SELECT N TO INSTALL NVIDIA DRIVERS)
``` bash
wget https://s3.amazonaws.com/personal-waf/cuda_8.0.61_375.26_linux.run
sudo sh cuda_8.0.61_375.26_linux.run # press and hold s to skip agreement

Do you accept the previously read EULA?
accept
Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 361.62?
*************** VERY KEY ******************
********** DON”T SAY Y ********************
n
Install the CUDA 8.0 Toolkit?
y
Enter Toolkit Location
press enter
Do you want to install a symbolic link at /usr/local/cuda?
y
Install the CUDA 8.0 Samples?
y
Enter CUDA Samples Location
press enter
now this prints:
Installing the CUDA Toolkit in /usr/local/cuda-8.0 …
Installing the CUDA Samples in /home/liping …
Copying samples to /home/liping/NVIDIA_CUDA-8.0_Samples now…
Finished copying samples.

    Install cudnn

    wget https://s3.amazonaws.com/personal-waf/cudnn-8.0-linux-x64-v5.1.tgz   
    sudo tar -xzvf cudnn-8.0-linux-x64-v5.1.tgz   
    sudo cp cuda/include/cudnn.h /usr/local/cuda/include
    sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
    sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*

    Add these lines to end of ~/.bashrc:

    export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64"
    export CUDA_HOME=/usr/local/cuda

    Reload bashrc

    source ~/.bashrc

    Install miniconda
    ``` bash
    wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
    bash Miniconda3-latest-Linux-x86_64.sh

press s to skip terms
Do you approve the license terms? [yes|no]
yes
Miniconda3 will now be installed into this location:
accept the location
Do you wish the installer to prepend the Miniconda3 install location
to PATH in your /home/ghost/.bashrc ? [yes|no]
yes

Reload bashrc

source ~/.bashrc

Create conda env to install tf
``` bash
conda create -n tensorflow

press y a few times

“`

Activate env

source activate tensorflow   

Install tensorflow with GPU support for python 3.6

# pip install --ignore-installed --upgrade aTFUrl
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.0-cp36-cp36m-linux_x86_64.whl

Test tf install
``` bash
start python shell

python

run test script

import tensorflow as tf

hello = tf.constant(‘Hello, TensorFlow!’)
sess = tf.Session()
print(sess.run(hello))