centos 7.3 安装TensorFlow 环境

1、安装依赖包：

[root@localhost ~]#yum install wget gcc gcc-devel glibc glibc-devel gzip2 -y

2、下载Anaconda：

[root@localhost ~]#wget rs.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda2-2.5.0-Linux-x86_64.sh --no-check-certificate

3、安装Anaconda

[root@localhost ~]# bash Anaconda2-2.5.0-Linux-x86_64.sh

安装提示中anaconda2 安装目录选/srv/anaconda2

4、配置anaconda2环境变量为/srv/anaconda2

[root@localhost ~]# vi ~/.bashrc    #追加以下行
export PATH=/srv/anaconda2/bin:$PATH
[root@localhost ~]# source ~/.bashrc

5、安装TensorFlow

[root@localhost ~]#conda create -n tensorflow python=2.7
[root@localhost ~]#conda install -c conda-forge tensorflow
[root@localhost ~]#source activate tensorflow
[root@localhost ~]#pip install -i https://pypi.tuna.tsinghua.edu.cn/simple  tensorflow

6、验证

进入python

[root@ulife3 ~]# source activate tensorflow
(tensorflow) [root@ulife3 ~]# python
Python 2.7.13 |Continuum Analytics, Inc.| (default, Dec 20 2016, 23:09:15)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org
>>> import tensorflow as tf
>>> hello=tf.constant('hello,Tensorflow')
>>> sess=tf.Session()
2018-05-04 11:30:18.125746: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
>>> print sess.run(hello)
hello,Tensorflow

   >> import tensorflow as tf

    >>hello=tf.constant('hello,Tensorflow')

    >>sess=tf.Session()

    >>print sess.run(hello)

    --输出hello,Tensorflow表明成功--