ubuntu14.04系统中安装tensorflow(cpu版)
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一.tensorflow的环境
ubuntu16.04的环境、系统自带pythond的环境
1、进入窗口的模式:
输入Python的命令,发现已经存在python。
2、输入以下命令安装pip
sudo apt-get install python-pip python-dev
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3、安装pip
sudo pip install --upgrade https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.0rc1-cp27-none-linux_x86_64.whl此处的链接为:https://github.com/tensorflow/tensorflow寻找自己需要的软件包
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会出现如下的错误:
4、此处需要更新pip
sulei@sulei:~$ pip install --upgrade pip
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5、继续执行上面的命令
sudo pip install --upgrade https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.0rc1-cp27-none-linux_x86_64.whl
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结果:
安装成功:
6、测试
进入python
>>> import tensorflow as tf>>> hello = tf.constant('Hello, TensorFlow!')>>> sess = tf.Session()2017-06-07 22:31:06.638258: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.2017-06-07 22:31:06.638339: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.2017-06-07 22:31:06.638376: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.>>> print sess.run(hello)Hello, TensorFlow!>>> a = tf.constant(10)>>> b = tf.constant(32)>>> print sess.run(a+b)42
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7、IDEA的安装
好用的IDE有很多,本文介绍的是Komodo IDE的免费版Komodo Edit。在Linux下打开它的官网(点击链接http://komodoide.com/download/edit-linux64/#)
下载解压后,进入解压目录;
在终端的命令下进入目录并进行
sulei@sulei:~/文档/Komodo$ ./install.sh nter directory in which to install Komodo. Leave blank andpress 'Enter' to use the default [~/Komodo-Edit-10].Install directory: ==============================================================================Komodo Edit 10 has been successfully installed to: /home/sulei/Komodo-Edit-10You might want to add 'komodo' to your PATH by adding the install dir to you PATH. Bash users can add the followingto their ~/.bashrc file: export PATH="/home/sulei/Komodo-Edit-10/bin:$PATH"Or you could create a symbolic link to 'komodo', e.g.: ln -s "/home/sulei/Komodo-Edit-10/bin/komodo" /usr/local/bin/komodoDocumentation is available in Komodo or on the web here: http://docs.activestate.com/komodoPlease send us any feedback you have through one of thechannels below: komodo-feedback@activestate.com irc://irc.mozilla.org/komodo https://github.com/Komodo/KomodoEdit/issuesThank you for using Komodo.==============================================================================
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根据路径找到这个文件,并打开
进行设置:
补充:
1、安装virtualenv
sulei@sulei:~$ sudo pip install virtualenv
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2、安装numpy和matplotlib
sulei@sulei:~$ sudo pip install numpysulei@sulei:~$ sudo pip install matplotlib
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此处出现matplotlib的安装错误:
如果matplotlib 装不上需要先安装其依赖的包libpng和freetype
安装libpng:
sudo apt-get install libpng-dev
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安装freetype:
cd ~/Downloadswget http://download.savannah.gnu.org/releases/freetype/freetype-2.4.10.tar.gztar zxvf freetype-2.4.10.tar.gzcd freetype-2.4.10/./congfiguremakesudo make install
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安装matplotlib
sudo pip install matplotlib
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安装成功
3、安装OpenCV
下载opencv的发行版源码:
https://github.com/opencv/opencv/releases/tag/2.4.13.2tar -vxzf opencv-2.4.13.2.tar.gz安装编译源码的依赖:sudo apt-get install build-essentialsudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-devsudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
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进入源码目录并配置:
cd opencv-2.4.13.2/mkdir releasecd releasecmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
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编译安装:
makesudo make install
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进入Python Console,在Python Console中输入:
import cv2
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如果没有报错,则说明opencv安装好了
第一步:安装pip工具
sudo apt-get install python-pip
第二步:安装tensorflow-cpu版
sudo pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl
或:sudo pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
第三步:打开sublime-text3 使用SFTP连接Ubuntu系统出现如下错误
The SSH host key has changed. This could indicate a potential security breach, or that the domain you are connecting to recently moved servers.If you are confident this is not a security breach you can delete the old host key and try again. 1. Win XP: Start > Run > regedit.exe Win Vista/7: Start > regedit 2. Expand to HKEY_CURRENT_USER\Software\SimonTatham\PuTTY\SshHostKeys and delete the entry including @22:10.0.83.202
打开windows7下按步骤打开并删除相应记录
第四步:linux上测试tensor测试文件
test.py
import numpyimport tensorflow as tfhello = tf.constant("hello,tensorflow")sess = tf.session()PRint sess.run(hello)a = tf.constant(10)b = tf.constant(20)print sess.run(a+b)
一.tensorflow的环境
ubuntu16.04的环境、系统自带pythond的环境
1、进入窗口的模式:
输入Python的命令,发现已经存在python。
2、输入以下命令安装pip
sudo apt-get install python-pip python-dev
- 1
- 1
3、安装pip
sudo pip install --upgrade https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.0rc1-cp27-none-linux_x86_64.whl此处的链接为:https://github.com/tensorflow/tensorflow寻找自己需要的软件包
- 1
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- 3
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会出现如下的错误:
4、此处需要更新pip
sulei@sulei:~$ pip install --upgrade pip
- 1
- 2
- 1
- 2
5、继续执行上面的命令
sudo pip install --upgrade https://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tensorflow-1.2.0rc1-cp27-none-linux_x86_64.whl
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结果:
安装成功:
6、测试
进入python
>>> import tensorflow as tf>>> hello = tf.constant('Hello, TensorFlow!')>>> sess = tf.Session()2017-06-07 22:31:06.638258: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.2017-06-07 22:31:06.638339: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.2017-06-07 22:31:06.638376: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.>>> print sess.run(hello)Hello, TensorFlow!>>> a = tf.constant(10)>>> b = tf.constant(32)>>> print sess.run(a+b)42
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7、IDEA的安装
好用的IDE有很多,本文介绍的是Komodo IDE的免费版Komodo Edit。在Linux下打开它的官网(点击链接http://komodoide.com/download/edit-linux64/#)
下载解压后,进入解压目录;
在终端的命令下进入目录并进行
sulei@sulei:~/文档/Komodo$ ./install.sh nter directory in which to install Komodo. Leave blank andpress 'Enter' to use the default [~/Komodo-Edit-10].Install directory: ==============================================================================Komodo Edit 10 has been successfully installed to: /home/sulei/Komodo-Edit-10You might want to add 'komodo' to your PATH by adding the install dir to you PATH. Bash users can add the followingto their ~/.bashrc file: export PATH="/home/sulei/Komodo-Edit-10/bin:$PATH"Or you could create a symbolic link to 'komodo', e.g.: ln -s "/home/sulei/Komodo-Edit-10/bin/komodo" /usr/local/bin/komodoDocumentation is available in Komodo or on the web here: http://docs.activestate.com/komodoPlease send us any feedback you have through one of thechannels below: komodo-feedback@activestate.com irc://irc.mozilla.org/komodo https://github.com/Komodo/KomodoEdit/issuesThank you for using Komodo.==============================================================================
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根据路径找到这个文件,并打开
进行设置:
补充:
1、安装virtualenv
sulei@sulei:~$ sudo pip install virtualenv
- 1
- 2
- 1
- 2
2、安装numpy和matplotlib
sulei@sulei:~$ sudo pip install numpysulei@sulei:~$ sudo pip install matplotlib
- 1
- 2
- 3
- 1
- 2
- 3
此处出现matplotlib的安装错误:
如果matplotlib 装不上需要先安装其依赖的包libpng和freetype
安装libpng:
sudo apt-get install libpng-dev
- 1
- 1
安装freetype:
cd ~/Downloadswget http://download.savannah.gnu.org/releases/freetype/freetype-2.4.10.tar.gztar zxvf freetype-2.4.10.tar.gzcd freetype-2.4.10/./congfiguremakesudo make install
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安装matplotlib
sudo pip install matplotlib
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安装成功
3、安装OpenCV
下载opencv的发行版源码:
https://github.com/opencv/opencv/releases/tag/2.4.13.2tar -vxzf opencv-2.4.13.2.tar.gz安装编译源码的依赖:sudo apt-get install build-essentialsudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-devsudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
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进入源码目录并配置:
cd opencv-2.4.13.2/mkdir releasecd releasecmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
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编译安装:
makesudo make install
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进入Python Console,在Python Console中输入:
import cv2
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如果没有报错,则说明opencv安装好了
第一步:安装pip工具
sudo apt-get install python-pip
第二步:安装tensorflow-cpu版
sudo pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl
或:sudo pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
第三步:打开sublime-text3 使用SFTP连接Ubuntu系统出现如下错误
The SSH host key has changed. This could indicate a potential security breach, or that the domain you are connecting to recently moved servers.If you are confident this is not a security breach you can delete the old host key and try again. 1. Win XP: Start > Run > regedit.exe Win Vista/7: Start > regedit 2. Expand to HKEY_CURRENT_USER\Software\SimonTatham\PuTTY\SshHostKeys and delete the entry including @22:10.0.83.202
打开windows7下按步骤打开并删除相应记录
第四步:linux上测试tensor测试文件
test.py
import numpyimport tensorflow as tfhello = tf.constant("hello,tensorflow")sess = tf.session()PRint sess.run(hello)a = tf.constant(10)b = tf.constant(20)print sess.run(a+b)
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