CentOS7利用pip快速安装TensorFlow

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参考文档：https://blog.csdn.net/ai_bigdata_wh/article/details/77865616

pip安装

首先检查CentOS有没有安装python-pip包，直接执行：yum install python-pip

如果提示： 

Loaded plugins: fastestmirror, langpacks
Loading mirror speeds from cached hostfile
 * base: ftp.sjtu.edu.cn
 * extras: mirrors.neusoft.edu.cn
 * updates: mirrors.neusoft.edu.cn
No package python-pip available.

如提示没有python-pip包，可对yum的软件仓库提供额外的软件包，执行命令： yum -y install epel-release。 

Downloading packages:
epel-release-7-11.noarch.rpm                           |  15 kB   00:21
Running transaction check
Running transaction test
Transaction test succeeded
Running transaction
  Installing : epel-release-7-11.noarch                                 1/1
  Verifying  : epel-release-7-11.noarch                                 1/1

Installed:
  epel-release.noarch 0:7-11

Complete!

执行成功之后，再次执行：yum install python-pip 

Installed:
  python2-pip.noarch 0:8.1.2-6.el7

Dependency Installed:
  python-backports.x86_64 0:1.0-8.el7
  python-backports-ssl_match_hostname.noarch 0:3.5.0.1-1.el7
  python-ipaddress.noarch 0:1.0.16-2.el7
  python-setuptools.noarch 0:0.9.8-7.el7

Complete!

pip升级

此时安装好的pip版本为0.8，非最新版本，可对其进行升级


[root@tensorflow ~]# pip install --upgrade pip 

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-18.0

TensorFlow安装

升级成功之后，便可以通过pip快速地安装TensorFlow： 

pip install tensorflow

TensorFlow版本查看

执行以下代码对TF的版本进行查看： 

[root@tensorflow ~]# python
Python 2.7.5 (default, Aug  4 2017, 00:39:18)
[GCC 4.8.5 20150623 (Red Hat 4.8.5-16)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> tf.__version__
'1.9.0'

TensorFlow验证

执行一下代码对TensorFlow是否成功安装进行验证 [root@tensorflow ~]# python 

Python 2.7.5 (default, Aug  4 2017, 00:39:18)
[GCC 4.8.5 20150623 (Red Hat 4.8.5-16)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> hello = tf.constant('Hello,World')
>>> sess = tf.Session()
2018-08-08 14:17:32.742209: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
>>> print sess.run(hello)
Hello,World
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