TensorFlow Python3.7環境下的源碼編譯(二)安裝配置

源代碼樹的根目錄中包含了一個名爲 configure 的 bash 腳本。

$ ./configure

接下來，配置系統會給出各類詢問，以確認編譯時的配置參數。

 

1、重要參數解釋

Please specify the location of python. [Default is /usr/bin/python]: /usr/local/bin/python3

上面的提示是Bazel讓咱們選擇Python的安裝路徑，這裏輸入了python3的路徑。直接按回車鍵（Enter）表示使用默認值。

 

Do you wish to build TensorFlow with jemalloc as malloc support? [Y/n]: 

jemalloc as malloc support will be enabled for TensorFlow.

上面的選項表示是否使用jemalloc代替傳統的malloc來管理內存？Jemalloc是傑森·埃文斯（Jason Evans）於2006年開發的用以取代傳統低性能的malloc內存管理模塊而開發的一款內存管理模塊[4]。埃文斯並不是等閒之輩，他是FreeBSD項目（一種類UNIX操做系統）的重要維護者之一。

Jemalloc先被Firefox瀏覽器採用，後來又被Facebook在其本身的各種應用上普遍使用，一戰成名。好技術固然要用！直接按回車，確認默認值Y。

 

Do you wish to build TensorFlow with Google Cloud Platform support? [Y/n]: n

No Google Cloud Platform support will be enabled for TensorFlow.

這個選項是詢問是否採用Google雲平臺來支持TensorFlow。這個雲平臺國內一般沒法訪問，建議輸入「n」。有條件的讀者，可直接按回車確認使用。

 

Do you wish to build TensorFlow with Hadoop File System support? [Y/n]: n

No Hadoop File System support will be enabled for TensorFlow.

這個選項是詢問是否使用Hadoop 文件系統（HDFS）來支持TensorFlow。若是搭建了Hadoop集羣，有讀取HDFS數據需求的用戶，能夠回車確認。若是沒有需求，手動輸入「n」。

 

Do you wish to build TensorFlow with Amazon S3 File System support? [Y/n]: n

No Amazon S3 File System support will be enabled for TensorFlow.

相似的，這個選項是詢問TensorFlow是否支持亞馬遜的S3文件系統。讀者根據本身的須要來肯定「Y」或「n」。若是用不着，建議選擇「n」。

 

Do you wish to build TensorFlow with Apache Kafka Platform support? [y/N]: 

No Apache Kafka Platform support will be enabled for TensorFlow.

Kafka是由Apache軟件基金會開發的一個開源流處理平臺，是一種高吞吐量的分佈式發佈訂閱消息系統。若是沒有這個須要，建議選擇默認值「N」。

 

Do you wish to build TensorFlow with XLA JIT support? [y/N]: n

No XLA JIT support will be enabled for TensorFlow.

這個選項是詢問是否開啓XLA JIT編譯支持。XLA（Accelerated Linear Algebra/加速線性代數）目前仍是TensorFlow的實驗項目，XLA 使用 JIT（Just in Time，即時編譯）技術來分析用戶在運行時（runtime）建立的 TensorFlow 圖，專門用於實際運行時的維度和類型。做爲新技術，這項編譯技術還不成熟，愛折騰的「極客」讀者能夠選「y」，不然選擇默認值「N」。

 

Do you wish to build TensorFlow with CUDA support? [y/N]: 

No CUDA support will be enabled for TensorFlow.

這個選項是詢問是否使用CUDA。CUDA是一種由NVIDIA推出的通用並行計算架構，該架構使GPU可以解決複雜的計算問題。若是用戶配備有NVIDIA的GPU，能夠選擇「y」，若是僅使用TensorFlow的CPU版本，回車確認「N」。

 

Do you wish to build TensorFlow with MPI support? [y/N]: 

No MPI support will be enabled for TensorFlow.

這個選項是詢問是否使用MPI。MPI(Message-Passing-Interface 消息傳遞接口)是實現進程級別的並行程序的通訊協議，它經過在進程之間進行消息傳遞。若是不是基於TensorFlow作並行程序開發，建議回車確認選擇默認值「N」。

 

Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]: 

這個選項是指定CPU編譯優化選項。默認值就是「-march=native」。這裏「m」表示「machine（機器）」，「arch」就是「architecture」簡寫。「march」合在一塊兒表示機器的結構，若是選擇「-march=native」，則表示選擇本地（native）CPU，若是本地CPU比較高級，就能夠支持SSE4.二、AVX等選項。這裏建議選擇默認值。

 

Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]:

這個選項是問是否進入Android的工做空間配置，若是不用手機版的TensorFlow開發，則選擇默認值「N」。

以後，當顯示「Configuration finished」（配置完成）字樣，則表示配置順利完成。

 

2、在同一個源代碼樹中的不一樣配置之間進行切換時運行 bazel clean。

 

3、實際配置全過程（tensorflow1.9+python3）

➜  tensorflow git:(master) ./configure

WARNING: --batch mode is deprecated. Please instead explicitly shut down your Bazel server using the command "bazel shutdown".

You have bazel 0.15.2-homebrew installed.

Please specify the location of python. [Default is /usr/bin/python]: /usr/local/bin/python3

 

Found possible Python library paths:

  /usr/local/Cellar/python/3.7.0/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages

Please input the desired Python library path to use.  Default is [/usr/local/Cellar/python/3.7.0/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages]

 

Do you wish to build TensorFlow with Google Cloud Platform support? [Y/n]: n

No Google Cloud Platform support will be enabled for TensorFlow.

 

Do you wish to build TensorFlow with Hadoop File System support? [Y/n]: n

No Hadoop File System support will be enabled for TensorFlow.

 

Do you wish to build TensorFlow with Amazon AWS Platform support? [Y/n]: n

No Amazon AWS Platform support will be enabled for TensorFlow.

 

Do you wish to build TensorFlow with Apache Kafka Platform support? [Y/n]: n

No Apache Kafka Platform support will be enabled for TensorFlow.

 

Do you wish to build TensorFlow with XLA JIT support? [y/N]: n

No XLA JIT support will be enabled for TensorFlow.

 

Do you wish to build TensorFlow with GDR support? [y/N]: n

No GDR support will be enabled for TensorFlow.

 

Do you wish to build TensorFlow with VERBS support? [y/N]: n

No VERBS support will be enabled for TensorFlow.

 

Do you wish to build TensorFlow with OpenCL SYCL support? [y/N]: n

No OpenCL SYCL support will be enabled for TensorFlow.

 

Do you wish to build TensorFlow with CUDA support? [y/N]: n

No CUDA support will be enabled for TensorFlow.

 

Do you wish to download a fresh release of clang? (Experimental) [y/N]: n

Clang will not be downloaded.

 

Do you wish to build TensorFlow with MPI support? [y/N]: n

No MPI 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]:

 

Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: n

Not configuring the WORKSPACE for Android builds.

 

Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See tools/bazel.rc for more details.

    --config=mkl             # Build with MKL support.

    --config=monolithic      # Config for mostly static monolithic build.

Configuration finished