`ModelSerializer` fails on Android. (0.8.0) invoke virtual method flush() on a null Object

gistfile1.java

/** GRADLE: (Any custom modifications I've made here were required to prevent duplicate file errors! */

// DL4J 
provided ('org.deeplearning4j:deeplearning4j-core:0.8.0') {
}
provided ('org.nd4j:nd4j-native:0.8.0') {
    //exclude group: 'org.bytedeco.javacpp-presets'
}
provided (group: 'org.nd4j', name: 'nd4j-native-platform', version: '0.8.0') {
    //exclude group: 'org.bytedeco.javacpp-presets'
}
    
    
packagingOptions {
}
    
/** DALVIK: */    
(new AsyncTask<Void, Void, Void>() {

  @Override
  protected Void doInBackground(Void... params) {



      DenseLayer inputLayer = new DenseLayer.Builder()
              .nIn(2)
              .nOut(3)
              .name("Input")
              .build();

      DenseLayer hiddenLayer = new DenseLayer.Builder()
              .nIn(3)
              .nOut(2)
              .name("Hidden")
              .build();

      OutputLayer outputLayer = new OutputLayer.Builder()
              .nIn(2)
              .nOut(2)
              .name("Output")
              .activation(Activation.SOFTMAX)
              .build();

      NeuralNetConfiguration.Builder nncBuilder = new NeuralNetConfiguration.Builder();
      nncBuilder.iterations(3);
      nncBuilder.learningRate(0.1);

      NeuralNetConfiguration.ListBuilder listBuilder = nncBuilder.list();
        listBuilder.layer(0, inputLayer);
        listBuilder.layer(1, hiddenLayer);
        listBuilder.layer(2, outputLayer);

        listBuilder.backprop(true);

        MultiLayerNetwork myNetwork = new MultiLayerNetwork(listBuilder.build());
        myNetwork.init();


        final int NUM_SAMPLES = 4;

        INDArray trainingInputs = Nd4j.zeros(NUM_SAMPLES, inputLayer.getNIn());
        INDArray trainingOutputs = Nd4j.zeros(NUM_SAMPLES, outputLayer.getNOut());

        // If 0,0 show 0
        trainingInputs.putScalar(new int[]{0,0}, 0);
        trainingInputs.putScalar(new int[]{0,1}, 0);
        trainingOutputs.putScalar(new int[]{0,0}, 0);
        trainingOutputs.putScalar(new int[]{0,1}, 1);

        // If 0,1 show 1
        trainingInputs.putScalar(new int[]{1,0}, 0);
        trainingInputs.putScalar(new int[]{1,1}, 1);
        trainingOutputs.putScalar(new int[]{1,0}, 1);
        trainingOutputs.putScalar(new int[]{1,1}, 0);

        // If 1,0 show 1
        trainingInputs.putScalar(new int[]{2,0}, 1);
        trainingInputs.putScalar(new int[]{2,1}, 0);
        trainingOutputs.putScalar(new int[]{2,0}, 1);
        trainingOutputs.putScalar(new int[]{2,1}, 0);

        // If 1,1 show 0
        trainingInputs.putScalar(new int[]{3,0}, 1);
        trainingInputs.putScalar(new int[]{3,1}, 1);
        trainingOutputs.putScalar(new int[]{3,0}, 0);
        trainingOutputs.putScalar(new int[]{3,1}, 1);

        DataSet myData = new DataSet(trainingInputs, trainingOutputs);


        final ByteArrayOutputStream lByteArrayOutputStream = new ByteArrayOutputStream();


        try {
            // (Or path/file based calls with FileOutputStream; these throw the same Exception.
            ModelSerializer.writeModel(myNetwork, lByteArrayOutputStream, false); 
        } catch (IOException e) {
            e.printStackTrace();
        }

        return null;
    }
}).execute();
        
        
/* STACK TRACE:  */
java.lang.RuntimeException: An error occurred while executing doInBackground()
   at android.os.AsyncTask$3.done(AsyncTask.java:309)
   at java.util.concurrent.FutureTask.finishCompletion(FutureTask.java:354)
   at java.util.concurrent.FutureTask.setException(FutureTask.java:223)
   at java.util.concurrent.FutureTask.run(FutureTask.java:242)
   at android.os.AsyncTask$SerialExecutor$1.run(AsyncTask.java:234)
   at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1113)
   at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:588)
   at java.lang.Thread.run(Thread.java:818)
Caused by: java.lang.NullPointerException: Attempt to invoke virtual method 'void java.io.OutputStream.flush()' on a null object reference
   at java.util.zip.DeflaterOutputStream.flush(DeflaterOutputStream.java:200)
   at org.deeplearning4j.util.ModelSerializer.writeModel(ModelSerializer.java:126)
   at io.github.cawfree.thoughtboy.fragment.SketchFragment$4.doInBackground(SketchFragment.java:318)
   at io.github.cawfree.thoughtboy.fragment.SketchFragment$4.doInBackground(SketchFragment.java:236)