title: How to deal with with result of org.tensorflow.lite.Interpreter.runForMultipleInputsOutputs()
body: <p>I am running posenet (which is a CNN) on android with tflite.
  The model has multiple output arrays with the following dimensions:
  <code>1x14x14x17, 1x14x14x34, 1x14x14x32, 1x14x14x32</code></p>
  
  <p>Therefore running the java tflite interpreter with</p>
  
  <pre><code>import org.tensorflow.lite.Interpreter;
  Interpreter tflite;
  ...
  tflite.runForMultipleInputsOutputs(inputs,outputs)
  </code></pre>
  
  <p>i can access the four output tensors with <code>tflite.getOutputTensor(i)</code> or with <code>outputs.get(i)</code> (with i el. [0,3]) as <code>outputs</code> is a <code>HashMap</code> filled with <code>java.nio.HeapByteBuffer</code> objects.</p>
  
  <p>How can I convert these outputs or tflite tensors to java multi-dimensional arrays (something like <code>float[][][][];</code>) to be able to perform mathematical computations on them?</p>