Linux环境

1. 下载tensorflow https://github.com/tensorflow/tensorflow
   
2. 下载并安装bazel https://github.com/bazelbuild/bazel/releases
   

sh bazel-0.15.0-installer-linux-x86_64.sh

1. 进入tensorflow目录./config
   

sudo mkdir /usr/local/include/tf
sudo cp -r bazel-genfiles/ /usr/local/include/tf/
sudo cp -r tensorflow /usr/local/include/tf/
sudo cp -r third_party /usr/local/include/tf/
sudo cp -r bazel-bin/tensorflow/libtensorflow_cc.so /usr/local/lib/

cd path_tensorflow/tensorflow
依赖等见 https://tensorflow.google.cn/install/install_sources
./configure
bazel build —config=monlithic :libtensorflow_cc.so
如果不加—config=monlithic，编译出来的库会导致cv::imread()为空
这样导入库时只需导入libtensorflow_cc.so，不再需要libtensorflow_framework.so

wget http://bitbucket.org/eigen/eigen/get/3.3.4.tar.bz2
下载之后解压放在重新命名为eigen3，我存放的路径是,/home/lp/projects/safety/tensorflow_c/eigen3

进入根目录后编译
编译生成.so文件, 编译C++ API的库 (建议)
bazel build //tensorflow:libtensorflow_cc.so
bazel build —config=opt —config=cuda —config=monolithic //tensorflow:libtensorflow_cc.so
也可以选择,编译C API的库
bazel build //tensorflow:libtensorflow.so

source /opt/rh/devtoolset-3/enable
bazel build —local_resources 1024,4,1.0 //tensorflow:libtensorflow_cc.so

https://blog.csdn.net/luanpeng825485697/article/details/81152615

出现的问题：

1. Server terminated abruptly (error code: 14, error message: ‘’, log file:
   

   解决：
   ‘/root/.cache/bazel/_bazel_root/a1181ec4a71ba55a9
   root@ubuntu:~# free -g

   total used free shared buff/cache available
   Mem: 15 15 0 0 0 0
   Swap: 14 14 0
   root@ubuntu:~#
   swapoff /tmp/swap 卸载行添加的交换分区
   dd if=/dev/zero of=/tmp/swap bs=1MB count=27648 添加27GB 容量
   mkswap /tmp/swap 创建交换分区
   root@ubuntu:~# swapon /tmp/swap 挂着交换分区
   swapon: /tmp/swap: insecure permissions 0644, 0600 suggested.
   root@ubuntu:~# free -g 验证 ，之前有3GB 交换分区
   total used free shared buff/cache available
   Mem: 15 0 0 0 14 14

Swap: 29 0 29

1. patch command is not found
   

   yum -y install patch

https://tensorflow.google.cn/install/source


https://blog.csdn.net/gubenpeiyuan/article/details/80855644

mkdir /usr/local/include/tf

cp -r bazel-genfiles/ /usr/local/include/tf/
cp -r tensorflow/* /usr/local/include/tf/tensorflow/
cp -r third_party /usr/local/include/tf/
cp -r bazel-bin/tensorflow/*.so /usr/local/lib/

Windows环境

使用github上已编译好的库

https://github.com/fo40225/tensorflow-windows-wheel
上面是github上已经编译好的库，不过C++的库只有v1.7.0到v1.10.0的

自己编译

1.安装vs2015
2.下载tensorflow 1.5.0
3.安装cmake
4.安装SWIG 3.0.12
5.安装python 3.6

所有即将编译的TensorFlow library都在TensorFlow repository下的cmake目录下。首先我们要在cmake文件夹下创建一个separate的build文件夹

Command Prompt

cmake .. -A x64 -DCMAKE_BUILD_TYPE=Release ^
-DSWIG_EXECUTABLE=C:\Users\%USERNAME%\bin\swig\swigwin-3.0.12\swig.exe ^
-DPYTHON_EXECUTABLE=C:\Users\%USERNAME%\Anaconda3\python.exe ^
-DPYTHON_LIBRARIES=C:\Users\%USERNAME%\Anaconda3\libs\python35.lib

-Dtensorflow_ENABLE_GPU=ON ^
-DCUDNN_HOME=”C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0”

-Dtensorflow_BUILD_PYTHON_BINDINGS=OFF ^
-Dtensorflow_ENABLE_GRPC_SUPPORT=OFF

-Dtensorflow_BUILD_SHARED_LIB=ON ^
-DCUDA_HOST_COMPILER=”C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\amd64\cl.exe”

https://www.cnblogs.com/jliangqiu2016/p/7642471.html
http://tianyuh.com/2018/09/11/Build-Run-Tensorflow-C-program-on-Windows/
https://joe-antognini.github.io/machine-learning/build-windows-tf

https://blog.csdn.net/jin739738709/article/details/86705735
https://blog.csdn.net/robothn/article/details/86157724

https://blog.csdn.net/qq_35975447/article/details/91986142

https://blog.csdn.net/robothn/article/details/86157724

https://blog.csdn.net/yuejisuo1948/article/details/84197534
https://blog.csdn.net/jacke121/article/details/80473648
https://blog.csdn.net/h8832077/article/details/78988488
https://blog.csdn.net/qq_35975447/article/details/91986142
https://blog.csdn.net/qq_35975447/article/details/91636625
https://blog.csdn.net/robothn/article/details/86157724
https://blog.csdn.net/jin739738709/article/details/86705735

安装MSYS2，地址 https://www.msys2.org/，选 msys2-x86_64-xxxx.exe，按网页下方说明安装到 C:\msys64

• 将目录C:\msys64和C:\msys64\usr\bin 加入系统环境变量path
• 打开cmd.exe，输入一下命令(有时可能安装不了，多试几次好了)
• 
  
• pacman -Syuu patch —disable-download-timeout
• pacman -Syuu unzip—disable-download-timeout
• pacman -Syuu grep —disable-download-timeout

C:\msys64\etc\pacman.d 如果下载速度慢可以修改C:\msys64\etc\pacman.d下面的文件中的镜像地址顺序

安装 Bazel

在github下载Bazel，https://github.com/bazelbuild/bazel/releases，这里我下载的bazel-0.22.0-windows-x86_64.exe
将下载好的 bazel-0.22.0-windows-x86_64.exe复制到C:\msys64下，更名为bazel.exe。

配置bazel：新建环境变量：BAZEL_SH，BAZEL_VC ，BAZEL_VS
**

下载tensorflow-v1.12

此处参考https://github.com/guikarist/tensorflow-windows-build-script
1.将tensorflow-1.12.0.zip解压到tensorflow-1.12.0目录下，并将目录下的tensorflow文件夹重命名为source；

2.下载tensorflow-windows-build-script的压缩包，解压，将其中的patchs与build.ps.1复制到tensorflow-1.12.0目录下；

将patchs下的eigen_half.patch复制到tensorflow-1.12.0\source\third_party下；

将patchs下的tf_exported_symbols_msvc.lds复制到tensorflow-1.12.0\source\tensorflow下

打开powershell
输入下面命令，这是bazel编译的选项，为不同的语言（python、c、c++）其//后对应的都不一样：
$parameterString = “—config=opt —config=cuda —define=no_tensorflow_py_deps=true —copt=-nvcc_options=disable-warnings //tensorflow:libtensorflow_cc.so —verbose_failures”

然后输入：

1. .\build.ps1 `
   
2. -BazelBuildParameters $parameterString `
   
3. -BuildCppAPI -ReserveSource
   

启动 VS2015 x64 命令行，激活Anaconda环境，在命令行内执行

Command Prompt

cmd.exe “/K” C:\Users\chechaojun\Anaconda3\Scripts\activate.bat

conda create -n py36 python=3.6
conda activate py36

cd /d D:\lib\tensorflow

python configure.py

cd tensorflow
bazel build :libtensorflow_cc.so（BUILD文件tf_cc_shared_object(name=”libtensorflow_cc.so”)）
bazel build :libtensorflow_framework.so（BUILD文件tf_cc_shared_object(name=”libtensorflow_framework.so”)）
bazel build :install_headers（BUILD文件tf_cc_shared_object(name=”install_headers”)）

bazel compiler is out of heap space

Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2