Examples with MapDBStatsStorage org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage used on opensource projects

Example 1 with MapDBStatsStorage

use of org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage in project deeplearning4j by deeplearning4j.

the class TestStatsListener method testListenerBasic.

@Test
public void testListenerBasic() {
    for (boolean useJ7 : new boolean[] { false, true }) {
        DataSet ds = new IrisDataSetIterator(150, 150).next();
        MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder().iterations(1).optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT).list().layer(0, new OutputLayer.Builder(LossFunctions.LossFunction.MCXENT).nIn(4).nOut(3).build()).pretrain(false).backprop(true).build();
        MultiLayerNetwork net = new MultiLayerNetwork(conf);
        net.init();
        //in-memory
        StatsStorage ss = new MapDBStatsStorage();
        if (useJ7) {
            net.setListeners(new J7StatsListener(ss));
        } else {
            net.setListeners(new StatsListener(ss));
        }
        for (int i = 0; i < 3; i++) {
            net.fit(ds);
        }
        List<String> sids = ss.listSessionIDs();
        assertEquals(1, sids.size());
        String sessionID = ss.listSessionIDs().get(0);
        assertEquals(1, ss.listTypeIDsForSession(sessionID).size());
        String typeID = ss.listTypeIDsForSession(sessionID).get(0);
        assertEquals(1, ss.listWorkerIDsForSession(sessionID).size());
        String workerID = ss.listWorkerIDsForSession(sessionID).get(0);
        Persistable staticInfo = ss.getStaticInfo(sessionID, typeID, workerID);
        assertNotNull(staticInfo);
        System.out.println(staticInfo);
        List<Persistable> updates = ss.getAllUpdatesAfter(sessionID, typeID, workerID, 0);
        assertEquals(3, updates.size());
        for (Persistable p : updates) {
            System.out.println(p);
        }
    }
}

Example 2 with MapDBStatsStorage

use of org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage in project deeplearning4j by deeplearning4j.

the class TestListeners method testStatsCollection.

@Test
public void testStatsCollection() {
    JavaSparkContext sc = getContext();
    int nExecutors = numExecutors();
    MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder().seed(123).optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT).iterations(1).list().layer(0, new DenseLayer.Builder().nIn(4).nOut(100).weightInit(WeightInit.XAVIER).activation(Activation.RELU).build()).layer(1, new org.deeplearning4j.nn.conf.layers.OutputLayer.Builder(LossFunctions.LossFunction.MCXENT).nIn(100).nOut(3).activation(Activation.SOFTMAX).weightInit(WeightInit.XAVIER).build()).pretrain(false).backprop(true).build();
    MultiLayerNetwork network = new MultiLayerNetwork(conf);
    network.init();
    TrainingMaster tm = new ParameterAveragingTrainingMaster.Builder(1).batchSizePerWorker(5).averagingFrequency(6).build();
    SparkDl4jMultiLayer net = new SparkDl4jMultiLayer(sc, conf, tm);
    //In-memory
    StatsStorage ss = new MapDBStatsStorage();
    net.setListeners(ss, Collections.singletonList(new StatsListener(null)));
    List<DataSet> list = new IrisDataSetIterator(120, 150).next().asList();
    //120 examples, 4 executors, 30 examples per executor -> 6 updates of size 5 per executor
    JavaRDD<DataSet> rdd = sc.parallelize(list);
    net.fit(rdd);
    List<String> sessions = ss.listSessionIDs();
    System.out.println("Sessions: " + sessions);
    assertEquals(1, sessions.size());
    String sid = sessions.get(0);
    List<String> typeIDs = ss.listTypeIDsForSession(sid);
    List<String> workers = ss.listWorkerIDsForSession(sid);
    System.out.println(sid + "\t" + typeIDs + "\t" + workers);
    List<Persistable> lastUpdates = ss.getLatestUpdateAllWorkers(sid, StatsListener.TYPE_ID);
    System.out.println(lastUpdates);
    System.out.println("Static info:");
    for (String wid : workers) {
        Persistable staticInfo = ss.getStaticInfo(sid, StatsListener.TYPE_ID, wid);
        System.out.println(sid + "\t" + wid);
    }
    assertEquals(1, typeIDs.size());
    assertEquals(numExecutors(), workers.size());
    String firstWorker = workers.get(0);
    String firstWorkerSubstring = workers.get(0).substring(0, firstWorker.length() - 1);
    for (String wid : workers) {
        String widSubstring = wid.substring(0, wid.length() - 1);
        assertEquals(firstWorkerSubstring, widSubstring);
        String counterVal = wid.substring(wid.length() - 1, wid.length());
        int cv = Integer.parseInt(counterVal);
        assertTrue(0 <= cv && cv < numExecutors());
    }
}