archlinux下源碼編譯tensorflow

archlinux下源碼編譯tensorflow

1. 環境準備

$ sudo pacman -S bazel

2. 下載源碼

獲取源碼

$ git clone https://github.com/tensorflow/tensorflow.git

下載miniconda

目前版本下，python3.6使用就很可以，不下最新的python3.7的miniconda，下載後

$ bash Miniconda3-4.5.1-Linux-x86_64

安裝完成後千萬不要pip install tensorflow 或者 conda install tensorflow，這樣會安裝未編譯的版本，最後就算是卸載，也要把一些依賴卸載，乾脆別裝

3. 編譯

$ cd (path)/tensorflow  (path)爲你git clone下的目錄

$ ./configue  (之後一路下去都選no,  其他的默認就可以了)

編譯

$ bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package  

編譯成功後的信息

	At global scope:
	cc1plus: warning: unrecognized command line option '-Wno-self-assign'
	Target //tensorflow/tools/pip_package:build_pip_package up-to-date:
	  bazel-bin/tensorflow/tools/pip_package/build_pip_package
	INFO: Elapsed time: 9402.576s, Critical Path: 397.05s
	INFO: 1944 processes: 1944 local.
	INFO: Build completed successfully, 2104 total actions

生成whl文件

就在tensorflow 目錄下

$ bazel-bin/tensorflow/tools/pip_package/build_pip_package ~/tensorflow_pkg

~/tensorflow_pkg是輸出目錄，之後.wheel文件就在該目錄下， 運行輸出如下：

2018年 12月 28日 星期五 14:21:09 CST : === Preparing sources in dir: /tmp/tmp.BVOrF1c3FU

~/App/tensorflow ~/App/tensorflow
~/App/tensorflow
2018年 12月 28日 星期五 14:21:27 CST : === Building wheel
warning: no files found matching '*.pyd' under directory '*'
warning: no files found matching '*.pd' under directory '*'
warning: no files found matching '*.dll' under directory '*'
warning: no files found matching '*.lib' under directory '*'
warning: no files found matching '*.h' under directory 'tensorflow/include/tensorflow'
warning: no files found matching '*' under directory 'tensorflow/include/Eigen'
warning: no files found matching '*.h' under directory 'tensorflow/include/google'
warning: no files found matching '*' under directory 'tensorflow/include/third_party'
warning: no files found matching '*' under directory 'tensorflow/include/unsupported'
2018年 12月 28日 星期五 14:22:08 CST : === Output wheel file is in: /home/lee/tensorflow_pkg

4. 安裝

cd ~/tensorflow_pkg

pip install tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl

這裏會自動下載依賴，完成