Tensorflow on ubuntu 16.04

$ sudo apt-get install python3-pip python3-dev python-virtualenv

$ virtualenv --system-site-packages -p python3 ~/tensorflow

$ source ~/tensorflow/bin/activate

(tensorflow)$ easy_install -U pip

(tensorflow)$ pip3 install --upgrade tensorflow

Successfully installed bleach-1.5.0 enum34-1.1.6 html5lib-0.9999999 markdown-2.6.9 numpy-1.13.3 protobuf-3.4.0 six-1.11.0 tensorflow-1.4.0 tensorflow-tensorboard-0.4.0rc2 werkzeug-0.12.2

$ python

 Python 3.5.2 (default, Sep 14 2017, 22:51:06

  [GCC 5.4.0 20160609] on linux Type "help", "copyright", "credits" or "license" for more information.

 >>> import tensorflow as tf

 >>> hello = tf.constant('Hello, TensorFlow!')

 >>> sess = tf.Session()

 2017-11-08 20:01:15.008675: I tensorflow/core/platform/cpu_feature_guard.cc:137]

 Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA >>> print(sess.run(hello)) b'Hello, TensorFlow!'

 >> 

>>> from tensorflow.examples.tutorials.mnist import input_data

 >>> mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

 Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.

 Extracting MNIST_data/train-images-idx3-ubyte.gz

 Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.

 Extracting MNIST_data/train-labels-idx1-ubyte.gz

 Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.

 Extracting MNIST_data/t10k-images-idx3-ubyte.gz

 Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.

 Extracting MNIST_data/t10k-labels-idx1-ubyte.gz