tensorflow使用记录（一）安装

ubuntu16.04  64-bit 
python3.5 
virtualenv
docker

ref: https://www.tensorflow.org/versions/r0.11/get_started/os_setup.html#virtualenv-installation
官网上有详细的安装流程，考虑到对现有python环境的影响，我准备用docker或virtualenv安装

virtualenv安装tensorflow

1. install pip and virtualenv
2. create a virtualenv environment
3. activate the virtualenv environment and install tensorflow in it

4. after the install you will activate the virtualenv environment each time you want to use tensorflow

    $ sudo apt-get install python3-pip python3-dev python3-virtualenv
    $ virtualenv --system-site-packages ~/tensorflow
    $ source ~/tensorflow/bin/activate
   
    (tensorflow)$                      #your prompt should change
    选择适合自己的安装包
    # Ubuntu/Linux 64-bit, CPU only, Python 3.5
   (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc0-cp35-cp35m-linux_x86_64.whl
   #install tensorflow
   (tensorflow)$ pip3 install --upgrade $TF_BINARY_URL
   
   #test your installation
   (tensorflow)$ python3
   >>> import tensorflow as tf
   >>> hello = tf.constant('Hello, TensorFlow!')
   >>> sess = tf.Session()
   >>> sess.run(hello)
   Hello, TensorFlow!
   >>> a = tf.constant(10)
   >>> b = tf.constant(32)
   >>> sess.run(a+b)
   42
   >>>exit()
   
   #结束使用tensorflow virtualenv
   (tensorflow)$ deactivate
   $                                  #your prompt should change
   

Docker安装Tensorflow

docker安装过程中一种pulling不下来镜像，待续…
用了后pulling下来了…
docker的安装和使用见docker使用记录

$ docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow

Tensorflow使用

Pycharm

在pycharm中可以在setting——>project interpretor中选择之前建立好的tensorflow virtualenv虚拟环境中的python3,这样就可以在pycharm中用啦