1,首先是安装了anaconda

2，其实用anaconda也是可以直接安装tensorflow的，但是由于virtualenv 可以创建一个隔离的容器,便于查错，所以就用virtualenv来安装，但是根据教程http://tensorfly.cn/tfdoc/get_started/os_setup.html安装会出错：

jjj@bogon:~/tensorflow$

jjj@bogon:~/tensorflow$ virtualenv --system-site-packages -p python3 targetDirectory

Running virtualenv with interpreter /Users/jjj/anaconda/bin/python3

Using base prefix '/Users/jjj/anaconda'

New python executable in /Users/jjj/tensorflow/targetDirectory/bin/python3

Not overwriting existing python script /Users/jjj/tensorflow/targetDirectory/bin/python (you must use /Users/jjj/tensorflow/targetDirectory/bin/python3)

dyld: Library not loaded: @loader_path/../lib/libpython3.5m.dylib

 Referenced from: /Users/jjj/tensorflow/targetDirectory/bin/python3

 Reason: image not found

ERROR: The executable /Users/jjj/tensorflow/targetDirectory/bin/python3 is not functioning

ERROR: It thinks sys.prefix is '/Users/jjj/tensorflow' (should be '/Users/jjj/tensorflow/targetDirectory')

ERROR: virtualenv is not compatible with this system or executable

认为是由于我的python是在anaconda下安装的原因，所以参考https://stackoverflow.com/questions/44575994/virtualenv-not-compatible-with-this-system-or-executable，卸载后用anaconda重新安装：

pip uninstall virtualenv

conda install virtualenv

问题解决，后面的安装过程参照：http://www.epubit.com.cn/book/onlinechapter/53043

安装好后创建一个工作目录，这里直接在home下创建了一个tensorflow文件夹：

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

然后进入该目录，激活沙箱：

$ cd ~/tensorflow$ source bin/activate (tensorflow) $

2．在virtualenv里安装TensorFlow

进入沙箱后，执行下面的命令来安装TensorFlow：

(tensorflow) $ pip install tensorflow==1.1.0

默认安装所需的依赖，直至安装成功。

3．运行TensorFlow

照着官方文档录入一个简单例子：

(tensorflow) $ pythonPython2.7.12(default,Oct112016,05:16:02)[GCC 4.2.1CompatibleApple LLVM 7.0.2(clang-700.1.81)] on darwinType"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!

恭喜，TensorFlow环境已经安装成功了

在最后一步print会报错，

>>> print sess.run(hello)

 File "<stdin>", line 1

   print sess.run(hello)

            ^

SyntaxError: invalid syntax

这是由于python 3和python 2的print语法的变化，需要加上（）：

>>> print(sess.run(hello))

b'Hello,TensorFlow!'

ps：另外在运行tensorflow时会出现下列waring：

>>> sess = tf.Session()

2018-02-24 08:09:47.784759: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.

2018-02-24 08:09:47.784783: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.

2018-02-24 08:09:47.784791: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.

2018-02-24 08:09:47.784798: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.

2018-02-24 08:09:47.784805: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU

有参考说没有对CPU进行优化的原因，具体可以参照（http://blog.rickdyang.me/2017-05/tensorflow-build/）