16 第一章 起步
2 $ sudo pip3 install −−upgrade https://storage.googleapis.com/
tensorflow/linux/cpu/tensorflow−0.6.0−cp34−none−linux_x86_64.whl
1 # Ubuntu/Linux 64−bit, GPU enabled:
2 $ sudo pip3 install −−upgrade https://storage.googleapis.com/
tensorflow/linux/gpu/tensorflow−0.6.0−cp34−none−linux_x86_64.whl
1 # Mac OS X, CPU only:
2 $ sudo easy_install −−upgrade six
3 $ sudo pip3 install −−upgrade https://storage.googleapis.com/
tensorflow/mac/tensorflow−0.6.0−py3−none−any.whl
You can now test your installation.
至此你可以测试安装是否成功．
1.2.4 Vi rtualenv installation | 基于 Virtualenv 安装
Virtualenv is a tool to keep the dependencies required by different Python projects
in separate places. The Virtualenv installation of TensorFlow will not override pre-existing
version of the Python packages needed by TensorFlow.
Virtualenv 是一个管理在不同位置存放和调用 Python 项目所需依赖库的工具．Ten-
sorFlow 的 Virtualenv 安装不会覆盖先前已安装的 TensorFlow Python 依赖包．
With Virtualenv the installation is as follows:
基于Virtualenv的安装分为以下几步:
• Install pip and Virtualenv.
• Create a Virtualenv environment.
• Activate the Virtualenv environment and install TensorFlow in it.
• After the install you will activate the Virtualenv environment each time you want to
use TensorFlow.
• 安装 pip 和 Virtualenv.
• 建立一个 Virtualenv 环境.
• 激活这个 Virtualenv 环境，并且在此环境下安装 TensorFlow.
• 安装完成之后，每次你需要使用 TensorFlow 之前必须激活这个 Virtualenv 环境.
Install pip and Virtualenv:
安装 pip 和 Virtualenv：
1 # Ubuntu/Linux 64−bit
2 $ sudo apt−get install python−pip python−dev python−virtualenv
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