《TensorFlow技術解析與實戰》——2.4 從源代碼安裝

本節書摘來異步社群《tensorflow技術解析與實戰》一書中的第2章，第2.4節，作者：李嘉璇，更多章節内容可以通路雲栖社群“異步社群”公衆号檢視。

從源代碼編譯安裝，需要使用bazel編譯工具。我們先安裝bazel工具。在需要依賴的jdk 8配好之後，在mac筆記本上直接執行下面指令，安裝版本是0.4.4：

tensorflow-1.1.0 ./configure

please specify the location of python．[default is /usr/local/bin/python]:

please specify optimization flags to use during compilation [default is -march=native]:

do you wish to use jemalloc as the malloc implementation? (linux only) [y/n]

jemalloc enabled on linux

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

found possible python library paths:

/usr/local/cellar/python/2.7.12_2/frameworks/python.framework/versions/2.7/lib/python2.7/site-packages

/library/python/2.7/site-packages

please input the desired python library path to use． default is [/usr/local/cellar/ python/2.7.12_2/frameworks/python.framework/versions/2.7/lib/python2.7/site-packages]

using python library path: /usr/local/cellar/python/2.7.12_2/frameworks/python. framework/versions/2.7/lib/python2.7/site-packages

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

configuration finished

bazel build --local_resources 2048,4,1.0 -c opt //tensorflow/tools/pip_package:build_ pip_package

bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg

然後進入/tmp/tensorflow_pkg，可以看到生成的檔案tensorflow-1.1.0-cp27-c

pip install /tmp/tensorflow_pkg/tensorflow-1.1.0-cp27-cp27m-macosx_10_12_intel.whl<code>`</code>

使用gpu版本的編譯需要配置中選擇使用cuda，然後填寫對應的cuda sdk版本等，其他步驟均相同。