title: Can TensorFlow lite can be build with custom CPU?
body: <p>I'm looking the TF Lite Android App</p>
  
  <p>Which can be found on GIT: <a href="https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/java/demo" rel="nofollow noreferrer">https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/java/demo</a></p>
  
  <p>How can I compile the tensorflow lite framework to use the optimized "atom" cpu type? </p>
  
  <p>Is it possible to compile it on a MAC os with the CPU optimizations for the "atom" cpu?</p>
  
  <p>I want to run the app on an Android device (SDK 22) with an "Intel Atom" Processor.
  When I run the application without any changes through Android Studio the rate was about <strong>1200ms per frame</strong>.
  Compering the same APK installed on my Galaxy S9 (arm - snapdragon processor) was about <strong>30ms per frame</strong>.</p>
  
  <p>In the "build.gradle" there is this section:</p>
  
  <pre><code>dependencies {
  ...    
  compile 'org.tensorflow:tensorflow-lite:0.0.0-nightly'
  
  ...
  }
  </code></pre>
  
  <p>So it's seems that it's downloading the framework, </p>
  
  <p>How can I compile it locally with the CPU optimization and set the app to use it instead of downloading the non optimized nightly version?</p>
  
  <p>I tried to run this tutorial : <a href="https://www.tensorflow.org/install/install_sources" rel="nofollow noreferrer">
  Installing TensorFlow from Sources</a> with the cpu flags but not sure exactly how it's helping me with the Android scenario..</p>