Centos7下安装Anaconda和Tensorflow

  • Centos7下安装Anaconda和Tensorflow已关闭评论
  • 36 views
  • A+
所属分类:运维实战

1.安装Anaconda

1.1下载Anaconda

官网下载太慢,所有最好通过清华的镜像下载
我下载的是 Anaconda3-5.2.0-Linux-x86_64.sh

1.2安装Anaconda

#下载
wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-5.2.0-Linux-x86_64.sh
#安装
#chmod +x Anaconda3-5.2.0-Linux-x86_64.sh 
#./Anaconda3-5.0.1-Linux-x86_64.sh

之后根据提示安装就可以了。

其中可能少些依赖,如下:

报错:./Anaconda3-5.2.0-Linux-x86_64.sh:行350: bunzip2: 未找到命令
解决:yum install -y bzip2
注:若没有将地址添加到PATH中可用:

安装过程中第一步按enter继续,第二步输入yes,第三步填写安装路径,如下:

Please, press ENTER to continue
>>>            ---------------按enter键
===================================
Anaconda End User License Agreement
===================================

Copyright 2015, Anaconda, Inc.

All rights reserved under the 3-clause BSD License:

................................
Do you accept the license terms? [yes|no]
[no] >>> yes                

Anaconda3 will now be installed into this location:
/root/anaconda3

- Press ENTER to confirm the location
 - Press CTRL-C to abort the installation
 - Or specify a different location below

[/root/anaconda3] >>> /qiku/anaconda3 或者默认回车安装到root/anaconda3

然后就开始自动安装了,等待结果吧。

如下,说明安装成功了:

完毕!
export PATH=/qiku/anaconda3/bin:$PATH
Updating VSCode Config ...
Installing Extensions ...
Found 'ms-python.anaconda-extension-pack' in the marketplace.
Installing...
Extension 'ms-python.anaconda-extension-pack' v1.0.0 was successfully installed!
VSCode successfully installed in /usr/share/code !

然后/etc/profile下配置环境变量,如下:

export PATH=/qiku/anaconda3/bin:$PATH

然后source /etc/profile

1.3测试Anaconda

[root@localhost ]# conda --version
conda 4.5.4

2安装Tensorflow

2.1创建专门的运行环境

[root@localhost]# conda create -n tensorflow python=3.6 anaconda

2.2列出所有的环境

[root@localhost]# conda info --envs
# conda environments:
#
base * /qiku/anaconda3
tensorflow /qiku/anaconda3/envs/tensorflow

2.3删除创建的环境

root@localhost]# conda remove -n tensorflow --all

2.3启动Tensorflow运行环境

source activate tensorflow

#关闭运行环境
#source deactivate tensorflow

2.3安装CPU版Tensorflow

pip install tensorflow

如果安装失败(你懂得),就使用清华 TUNA的仓库镜像库安装

#添加清华大学 TUNA提供的Anaconda仓库镜像
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/

conda config --set show_channel_urls yes


conda install numpy   #测试是否添加成功

#搜索可用版本
anaconda search -t conda tensorflow

#选择一个较新的CPU或GPU版本,如jjh_cio_testing/tensorflow的1.0.1版本,输入如下命令查询安装命令
anaconda show jjh_cio_testing/tensorflow

#使用最后一行的提示命令进行安装
conda install --channel https://conda.anaconda.org/jjh_cio_testing tensorflow

#conda会自动检测安装此版本的Tensorflow所依赖的库,如果你的Anaconda缺少这些依赖库,会提示你安装。

2.4测试

import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))
  • 我的微信
  • 微信扫一扫
  • weinxin
  • 微信公众号
  • 微信公众号扫一扫
  • weinxin
avatar