Install TensorFlow on Ubuntu (version python2.7)

What to note: Install TensorFlow on Ubuntu (version python2.7)
Note Date: 2018-01-31

Install TensorFlow on Ubuntu (version python2.7)

My system environment:

• Ubuntu 16.04 LTS
• Python 2.7
• Python 3.5

Two versions of TensorFlow:

The TensorFlow is mainly installed in the following ways:

• Virtualenv
• Pip
• Docker
• Anaconda
• Source code Compilation

I use Pip to install, Pip is a Python package management system: PIP Install Packages recursive abbreviation

The format of the PIP installation Package command is as follows:

Pip Install package name

The format of the PIP Unload Package command is as follows:

Pip Uninstall Package name

I use the Virtualenv form of installation here, the following is the official installation documentation for TensorFlow:

Https://tensorflow.google.cn/install/install_linux

1. Install PYTHON-PIP, Python-dev and python-virtualenv, and I am installing the python2.7 version here:

$ sudo apt-get install python-pip python-dev python-virtualenv

2. Create a VIRTUALENV environment:

[[email protected]:~]$ virtualenv --system-site-packages tensorflowRunning virtualenv with interpreter /usr/bin/python2New python executable in /home/zero/tensorflow/bin/python2Also creating executable in /home/zero/tensorflow/bin/pythonInstalling setuptools, pkg_resources, pip, wheel...done.

3. Activate the VIRTUALENV environment:

[[email protected]:~]$ source ~/tensorflow/bin/activate(tensorflow) [[email protected]:~]$

4. Install PIP:

(tensorflow) [[email protected] ~]$ easy_install -U pip

5. Install TensorFlow, I install the CPU version here:

(tensorflow) [[email protected] ~]$ pip install --upgrade tensorflow

Tip: If your pip is installed slowly, it is because the default is to use a foreign source, we can change to a domestic source:

[[email protected] ~]$ vim .pip/pip.conf  # 编辑为以下内容[global]index-url = http://pypi.douban.com/simpletrusted-host = pypi.douban.com   #没有这句会包warningdisable-pip-version-check = true   #版本不检查timeout = 120   

Note: If the. pip/pip.conf is not created then you can.

6. After installation, enter the Python command line, import the TensorFlow package, and if there is no output, the installation is successful:

(tensorflow) [[email protected] ~]$ pythonPython 2.7.12 (default, Dec  

Some other things to do:
Deactivate command to exit the virtual environment:

To delete a virtual environment, simply delete the generated directory:

[[email protected] ~]$ rm -rf tensorflow/[[email protected] ~]$

Above we demonstrated the installation of TensorFlow via Virtualenv, and then we will demonstrate the installation of TensorFlow by local PIP:

1. You need to install Pip and Dev First:

[[email protected] ~]$ sudo apt-get install python-pip python-dev

2. Then install with PIP:

[[email protected] ~]$ pip install tensorflow

3. After the installation is also entered into the Python command line, import the TensorFlow package, if there is no output on behalf of the successful installation:

[[email protected] ~]$ pythonPython 2.7.12 (default, Dec  

This method is installed on the local system, and the previous installation method is installed in a virtual environment, each time you need to enter the virtual environment to use TensorFlow, installed on the local system is not required.

Uninstall TensorFlow using the following command:

sudo pip uninstall TensorFlow

We can use PIP to install some basic Python class libraries:

pip install numpypip install pandaspip install matplotlib

Write the first TensorFlow program: Hello World

Above we have installed TensorFlow, then we will write the first TensorFlow program: Hello World

1. Create the appropriate directory:

2. Edit a python file:

[[email protected] ~/TensorFlow/HelloWorld]$ vi helloworld.py  # 内容如下# -*- coding: UTF-8 -*-# 引入 Tensorflow 库import tensorflow as tf# 创建一个常量 Operation （操作）hw = tf.constant("Hello Wolrd!")# 启动一个Tensorflow 的 Session（会话）sess = tf.Session()# 运行 Graph （计算图）print sess.run(hw)# 关闭 Session（会话）sess.close()

3. Run the file to see if the output is normal:

As above, you can see Hello wolrd! The output was normal, and some hints were printed, so that's when our first TensorFlow program was written.

Install TensorFlow on Ubuntu (version python2.7)