可能自己比较笨，每次都用tensorflow源码下载再安装，而且超级慢。现在介绍用清华的镜像安装，超级方便。方便自己以后查用。
首先安装Anaconda
在清华镜像(点击阅读原文)上选择你需要的版本。window双击exe文件即可。ubuntu如下：
$ bash Anaconda3-4.3.1-Linux-x86_64.sh #Python 3.5 版
Anaconda仓库镜像
添加仓库镜像到用户根目录“.condarc”文件。
1$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
2$ conda config --set show_channel_urls yes
3$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
4$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
5$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
6$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/
7$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo/
8$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
9$ conda install numpy #测试是否添加成功查看此文件内容，如下：
channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
- defaults
show_channel_urls: yes
安装tensorflow
我习惯在conda下建立不同项目所需要的环境，独立开来。
$ conda create -n tensorflow python=3.5
命令行下查看当前可用tensorflow版本。
alice@alice:~$ source activate tensorflow_1
(tensorflow_1) alice@alice:~$ anaconda search -t conda tensorflow
Using Anaconda API: https://api.anaconda.org
Packages:
Name | Version | Package Types | Platforms | Builds
------------------------- | ------ | --------------- | --------------- | ----------
GlaxoSmithKline/tensorflow | 0.12.0 | conda | linux-64 | py27hb0d0e74_0
: TensorFlow is a machine learning library
HCC/tensorflow | 1.7.0 | conda | linux-64 | py34_1, py27_1, py27_0, py36_0, np113py35_0, np113py27_0, np113py36_0, py35_0, py35_1
: Computation using data flow graphs for scalable machine learning.
HCC/tensorflow-cpucompat | 1.5.0 | conda | linux-64 | py27_0, py36_0, py34_0, np113py35_0, np113py27_0, np113py36_0, py35_0
: Computation using data flow graphs for scalable machine learning.
HCC/tensorflow-fma | 1.5.0 | conda | linux-64 | py27_1, py34_1, py27_0, py36_0, py34_0, np113py35_0, np113py27_0, np113py36_0, py35_0, py35_1
...
Found 82 packages
Run 'anaconda show <USER/PACKAGE>' to get installation details
自行选择你需要的版本，比如RMG/tensorflow，然后输入以下来查询安装命令。
$ anaconda show RMG/tensorflow
Using Anaconda API: https://api.anaconda.org
Name: tensorflow
Summary:
Access: public
Package Types: conda
Versions:
+ 1.0.0
To install this package with conda run:
conda install --channel https://conda.anaconda.org/RMG tensorflow
使用最后一行命令进行安装。
$ conda install --channel https://conda.anaconda.org/RMG tensorflow
Solving environment: -
Warning: >10 possible package resolutions (only showing differing packages):
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::funcsigs-1.0.2-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mkl-2017.0.3-0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mock-2.0.0-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::pbr-1.10.0-py27_0
- http://mirrors.ustc.edu.cn/anaconda/pkgs/free::funcsigs-1.0.2-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mkl-2017.0.3-0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mock-2.0.0-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::pbr-1.10.0-py27_0
- http://mirrors.ustc.edu.cn/anaconda/pkgs/free::pbr-1.10.0-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::funcsigs-1.0.2-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mkl-2017.0.3-0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mock-2.0.0-py27_0
- http://mirrors.ustc.edu.cn/anaconda/pkgs/free::funcsigs-1.0.2-py27_0, http://mirrors.ustc.edu.cn/anaconda/pkgs/free::pbr-1.10.0-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mkl-2017.0.3-0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mock-2.0.0-py27_0
- http://mirrors.ustc.edu.cn/anaconda/pkgs/free::mock-2.0.0-py27_0, http://mirrors.ustc.edu.cn/anaconda/pkgs/free::pbr-1.10.0-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::funcsigs-1.0.2-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mkl-2017.0.3-0
- http://mirrors.ustc.edu.cn/anaconda/pkgs/free::funcsigs-1.0.2-py27_0, http://mirrors.ustc.edu.cn/anaconda/pkgs/free::mock-2.0.0-py27_0, http://mirrors.ustc.edu.cn/anaconda/pkgs/free::pbr-1.10.0-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mkl-2017.0.3-0
- http://mirrors.ustc.edu.cn/anaconda/pkgs/free::mock-2.0.0-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::funcsigs-1.0.2-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mkl-2017.0.3-0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::pbr-1.10.0-py27_0
- http://mirrors.ustc.edu.cn/anaconda/pkgs/free::funcsigs-1.0.2-py27_0, http://mirrors.ustc.edu.cn/anaconda/pkgs/free::mock-2.0.0-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mkl-2017.0.3-0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::pbr-1.10.0-py27_0
- http://mirrors.ustc.edu.cn/anaconda/pkgs/free::mkl-2017.0.3-0, http://mirrors.ustc.edu.cn/anaconda/pkgs/free::mock-2.0.0-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::funcsigs-1.0.2-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::pbr-1.10.0-py27_0
- http://mirrors.ustc.edu.cn/anaconda/pkgs/free::mkl-2017.0.3-0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::funcsigs-1.0.2-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::mock-2.0.0-py27_0, https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free::pbr-1.10.0-py27_0
... and othedone
==> WARNING: A newer version of conda exists. <==
current version: 4.5.1
latest version: 4.5.4
Please update conda by running
$ conda update -n base conda
## Package Plan ##
environment location: /home/alice/anaconda3/envs/tensorflow_1
added / updated specs:
- tensorflow
The following packages will be downloaded:
package | build
---------------------------|-----------------
pbr-1.10.0 | py27_0 100 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
numpy-1.13.1 | py27_0 6.8 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
six-1.10.0 | py27_0 16 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
tensorflow-1.0.0 | py27_0 34.9 MB RMG
mock-2.0.0 | py27_0 96 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
funcsigs-1.0.2 | py27_0 18 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
protobuf-3.4.0 | py27_0 469 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
------------------------------------------------------------
Total: 42.4 MB
The following NEW packages will be INSTALLED:
funcsigs: 1.0.2-py27_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
libprotobuf: 3.4.0-0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
mkl: 2017.0.3-0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
mock: 2.0.0-py27_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
numpy: 1.13.1-py27_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
pbr: 1.10.0-py27_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
protobuf: 3.4.0-py27_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
six: 1.10.0-py27_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
tensorflow: 1.0.0-py27_0 RMG
Proceed ([y]/n)? y
Downloading and Extracting Packages
pbr 1.10.0############################################################## | 100%
numpy 1.13.1############################################################ | 100%
six 1.10.0############################################################## | 100%
tensorflow 1.0.0######################################################## | 100%
mock 2.0.0############################################################## | 100%
funcsigs 1.0.2########################################################## | 100%
protobuf 3.4.0########################################################## | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
测试是否安装成功。
>>> import tensorflow as tf
如果没有报错，则安装成功。
