最近在学习google新开源的深度学习框架tensorflow。发现安装它的时候,需要依赖python2.7.X;我之前一直使用的linux是centos。而centos不更新了,里面的自带的python一般都是python2.6以下的。不仅如此,系统里面很多组件又依赖python2.6,所以导致你都不能替换掉它。无奈之下,选择ubuntu了。下面介绍一下使用ubuntu安装tensorflow遇到的一些问题。

1、ubuntu无法用Winscp连接

解决办法:

(1)、采用桥接的方式进行上网(由于是用虚拟机安装的操作系统)

(2)、利用ps -e  |grep ssh  查看是否有sshd进程开启。如果没有则需要安装openssh-server

    安装的方式:sudo apt-get install openssh-server

    启动相应的进程:/etc/init.d/ssh start

(3)、此时需要reboot系统

(4)、由于ubuntu最初root的用户是没有被激活的,所以需要通过修改root用户密码来激活root用户。

完成即可连接了。

2、安装tensorflow。

由于我的ubuntu是最新版的(ubuntu-16.04-desktop-amd64),里面自带的python是2.7.11。因此满足要求。由于tensorflow有三种安装方式,这里采用的是pip安装方式。下面开始安装tensorflow:

(1)首先安装pip

 sudo apt-get install python-pip python-dev

(2)利用pip安装tensorflow

sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl

安装好了后,如下图所示:

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" alt="" width="987" height="312" />

根据上面黄色的提示,叫我升级pip:于是我就按照他的要求升级了,执行:pip install --upgrade pip

3、检验tensorflow是否安装成功

通过下面一段代码来测试tensorflow是否安装成功:

$ python
...
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> print(sess.run(hello))
Hello, TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> print(sess.run(a + b))
42
>>>
下面是我执行的结果如下图所示:
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4、安装python-numpy ,python-scipy,python-matplotlib

sudo apt-get install python-numpy

sudo apt-get install python-scipy

sudo apt-get install python-matplotlib

验证是否安装成功:(如下图所示)

aaarticlea/png;base64,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