一、安装tensorflow
1.安装编译工具Bazel
首先要安装JDK8。
sudo apt-get install software-properties-common
sudo add-apt-repository ppa:webupd8team/java
sudo apt-get update
sudo apt-get install oracle-java8-installer最后一步巨慢，保持网络畅通。
然后安装Bazel的其他依赖的工具包。
sudo apt-get install pkg-config zip g++ zlib1g-dev unzip python3在Bazel的GitHub发布页面下载安装包(https://github.com/bazelbuild/bazel/releases)，选择bazel-0.15.0-installer-linux-x86_64.sh，然后运行：
chmod +x bazel-0.15.0-installer-linux-x86_64.sh
./bazel-0.15.0-installer-linux-x86_64.sh -user
export PATH="$PATH:$HOME/bin"2.安装TensorFlow依赖的其他工具包。
sudo apt-get install python3-numpy python3-pip python3-dev python3-wheel3.配置TensorFlow编译环境
（1）从GitHub下载源码：
git clone https://github.com/tensorflow/tensorflow
（2）源码下载完成之后，需要运行configure脚本来配置环境信息：
cd tensorflow/
./configure
Please specify the location of python. [Default is /home/gz/anaconda3/bin/python]:
Found possible Python library paths:
/home/gz/anaconda3/lib/python3.6/site-packages
Please input the desired Python library path to use. Default is [/home/gz/anaconda3/lib/python3.6/site-packages]
Using python library path: /home/gz/anaconda3/lib/python3.6/site-packages
Do you wish to build TensorFlow with MKL support? [y/N]
No MKL support will be enabled for TensorFlow
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]:
Do you wish to use jemalloc as the malloc implementation? [Y/n]
jemalloc enabled
Do you wish to build TensorFlow with Google Cloud Platform support? [y/N]
No Google Cloud Platform support will be enabled for TensorFlow
Do you wish to build TensorFlow with Hadoop File System support? [y/N]
No Hadoop File System support will be enabled for TensorFlow
Do you wish to build TensorFlow with the XLA just-in-time compiler (experimental)? [y/N]
No XLA support will be enabled for TensorFlow
Do you wish to build TensorFlow with VERBS support? [y/N]
No VERBS support will be enabled for TensorFlow
Do you wish to build TensorFlow with OpenCL support? [y/N]
No OpenCL support will be enabled for TensorFlow
Do you wish to build TensorFlow with CUDA support? [y/N]
No CUDA support will be enabled for TensorFlow
Extracting Bazel installation...
.................
INFO: Starting clean (this may take a while). Consider using --async if the clean takes more than several minutes.
Configuration finished（3）通过Bazel来编译pip的安装包（比较耗时）:
bazel build -c opt //tensorflow/tools/pip_package:build_pip_package（4）上述命令生成一个build_pip_package文件，运行以下命令，在/tmp/tensorflow_pkg 文件夹中创建pip的安装包:
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg（5）用pip命令安装：
pip install /tmp/tensorflow_pkg/tensorflow-1.9.0rc0-cp36-cp36m-linux_x86_64.whl4.TensorFlow测试
gz@Storm:~$ python
Python 3.6.5 |Anaconda, Inc.| (default, Apr 29 2018, 16:14:56)
[GCC 7.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
/home/gz/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
>>> hello = tf.constant('hello tensorflow')
>>> sess = tf.Session()
2018-06-30 10:19:07.320775: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX
>>> print(sess.run(hello))
b'hello tensorflow'
安装成功！
二、pycharm配置
（1）打开Pycharm软件，点击File->Default Settings->Project Interpreter
右边设置按钮选择 Add local ->Virtualenv Environment->Existing Environment，将python3.6的python.exe路径选择即可。
如果不知道路径，可以输入以下命令得到路径：
gz@Storm:~$ source activate tensorflow
(tensorflow) gz@Storm:~$ which python
/home/gz/anaconda3/envs/tensorflow/bin/python
点击OK，即完成配置。
运行成功！