一、环境预备

• 创建文件夹
  mkdir tf-course

• 安装virtualenv

➜  tf-course sudo pip install  virtualenv 

Password:
DEPRECATION: Python 2.7 will rhttps://files.pythonhosted.org/packages/ca/ee/8375c01412abe6ff462ec80970e6bb1c4308724d4366d7519627c98691ab/virtualenv-16.6.0-py2.py3-none-any.whl (2.0MB)
    100% |████████████████████████████████| 2.0MB 2.0MB/s 
Installing collected packages: virtualenv
Successfully installed virtualenv-16.6.0

• 查看版本

➜  tf-course virtualenv --version
16.6.0

• 使用virtualenv创建一个python虚拟环境

➜ tf-course virtualenv --version
16.6.0
➜  tf-course virtualenv --system-site-packages -p python2.7 ./venv
Running virtualenv with interpreter /usr/local/bin/python2.7
New python executable in /Users/lujie/Desktop/workspace/tf-course/venv/bin/python2.7
Also creating executable in /Users/lujie/Desktop/workspace/tf-course/venv/bin/python
Installing setuptools, pip, wheel...
done.
➜  tf-course ll
total 0
drwxr-xr-x  6 lujie  staff   192B  6 16 18:18 venv

• 激活虚拟环境

➜  tf-course source venv/bin/activate
(venv) ➜  tf-course 


linux环境：
创建环境  virtualenv --no-site-packages venv
进入环境 source venv/bin/activate

• 安装tensorflow (可能比较慢)

(venv) ➜  tf-course pip install tensorflow

• 可以查看一下下载的依赖包

(venv) ➜  tf-course pip list
DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 won't be maintained after that date. A future version of pip will drop support for Python 2.7.
Package                Version  
---------------------- ---------
absl-py                0.7.1    
astor                  0.8.0    
backports.weakref      1.0.post1
enum34                 1.1.6    
funcsigs               1.0.2    
futures                3.2.0    
gast                   0.2.2    
grpcio                 1.21.1   
h5py                   2.9.0    
Keras-Applications     1.0.8    
Keras-Preprocessing    1.1.0    
List                   1.3.0    
Markdown               3.1.1    
mock                   3.0.5    
mysql-connector-python 8.0.16   
numpy                  1.16.4   
pip                    19.1.1   
protobuf               3.8.0rc1 
setuptools             41.0.1   
six                    1.12.0   
tensorboard            1.13.1   
tensorflow             1.13.1   
tensorflow-estimator   1.13.0   
termcolor              1.1.0    
virtualenv             16.6.0   
Werkzeug               0.15.4   
wheel                  0.33.4 

• 进入python查看

(venv) ➜  tf-course python
Python 2.7.16 (default, Apr 12 2019, 15:32:40) 
[GCC 4.2.1 Compatible Apple LLVM 10.0.1 (clang-1001.0.46.3)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> exit()

• 离开环境

(venv) ➜  tf-course deactivate
➜  tf-course  

• 打印Hello Tensor Flow

(venv) ➜  tf-course python
Python 2.7.16 (default, Apr 12 2019, 15:32:40) 
[GCC 4.2.1 Compatible Apple LLVM 10.0.1 (clang-1001.0.46.3)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> hello = tf.constant("Hello TensorFlow")
>>> sess = tf.Session()
2019-06-16 19:12:25.502889: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
>>> sess.run(hello)
'Hello TensorFlow'
>>> print(sess.run(hello))
Hello TensorFlow
>>>