TensorFlowのインストール（ＣｅｎＯＳ７）

（1）Pythonのインストール確認
$  python -V
Python 2.7.5

（2）Pythonのパッケージ管理Pipのインストール
# sudo easy_install pip
Searching for pip
Reading https://pypi.python.org/simple/pip/
Best match: pip 9.0.1
Downloading https://pypi.python.org/packages/11/b6/abcb525026a4be042b486df43905d6893fb04f05aac21c32c638e939e447/pip-9.0.1.tar.gz#md5=35f01da33009719497f01a4ba69d63c9
Processing pip-9.0.1.tar.gz
Writing /tmp/easy_install-YFlZnB/pip-9.0.1/setup.cfg
Running pip-9.0.1/setup.py -q bdist_egg --dist-dir /tmp/easy_install-YFlZnB/pip-9.0.1/egg-dist-tmp-YgahSK
/usr/lib64/python2.7/distutils/dist.py:267: UserWarning: Unknown distribution option: 'python_requires'
  warnings.warn(msg)
warning: no previously-included files found matching '.coveragerc'
warning: no previously-included files found matching '.mailmap'
warning: no previously-included files found matching '.travis.yml'
warning: no previously-included files found matching '.landscape.yml'
warning: no previously-included files found matching 'pip/_vendor/Makefile'
warning: no previously-included files found matching 'tox.ini'
warning: no previously-included files found matching 'dev-requirements.txt'
warning: no previously-included files found matching 'appveyor.yml'
no previously-included directories found matching '.github'
no previously-included directories found matching '.travis'
no previously-included directories found matching 'docs/_build'
no previously-included directories found matching 'contrib'
no previously-included directories found matching 'tasks'
no previously-included directories found matching 'tests'
Adding pip 9.0.1 to easy-install.pth file
Installing pip script to /usr/bin
Installing pip2.7 script to /usr/bin
Installing pip2 script to /usr/bin

Installed /usr/lib/python2.7/site-packages/pip-9.0.1-py2.7.egg
Processing dependencies for pip
Finished processing dependencies for pip

（3）Virtualenvをインストール
# sudo pip install --upgrade virtualenv
Collecting virtualenv
  Downloading virtualenv-15.1.0-py2.py3-none-any.whl (1.8MB)
    100% |████████████████████████████████| 1.8MB 344kB/s
Installing collected packages: virtualenv
Successfully installed virtualenv-15.1.0

（4）python関連ツールインストール
$sudo yum -y install python-pip python-dev
$sudo yum -y install python-devel.x86_64

（５）pipのアップデート
# pip install --upgrade pip
Collecting pip
  Downloading pip-9.0.1-py2.py3-none-any.whl (1.3MB)
    100% |████████████████████████████████| 1.3MB 965kB/s
Installing collected packages: pip
  Found existing installation: pip 8.1.2
    Uninstalling pip-8.1.2:
      Successfully uninstalled pip-8.1.2
Successfully installed pip-9.0.1

（６）tensorflowインストール
# sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl
Collecting tensorflow==0.9.0 from https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl
  Using cached https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl
Requirement already up-to-date: protobuf==3.0.0b2 in /usr/lib/python2.7/site-packages (from tensorflow==0.9.0)
Requirement already up-to-date: wheel in /usr/lib/python2.7/site-packages (from tensorflow==0.9.0)
Requirement already up-to-date: six>=1.10.0 in /usr/lib/python2.7/site-packages (from tensorflow==0.9.0)
Requirement already up-to-date: numpy>=1.8.2 in /usr/lib64/python2.7/site-packages (from tensorflow==0.9.0)
Requirement already up-to-date: setuptools in /usr/lib/python2.7/site-packages (from protobuf==3.0.0b2->tensorflow==0.9.0)
Installing collected packages: tensorflow
  Found existing installation: tensorflow 0.9.0
    Uninstalling tensorflow-0.9.0:
      Successfully uninstalled tensorflow-0.9.0
Successfully installed tensorflow-0.9.0

（７）確認
$ python
Python 2.7.5 (default, Nov  6 2016, 00:28:07)
[GCC 4.8.5 20150623 (Red Hat 4.8.5-11)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> print(sess.run(hello))
Hello, TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> print(sess.run(a+b))
42
>>>