Examples with Random org.nd4j.linalg.api.rng.Random used on opensource projects

Example 36 with Random

use of org.nd4j.linalg.api.rng.Random in project nd4j by deeplearning4j.

the class RandomTests method testMultithreading2.

@Test
public void testMultithreading2() throws Exception {
    final AtomicInteger cnt = new AtomicInteger(0);
    final CopyOnWriteArrayList<INDArray> list = new CopyOnWriteArrayList<>();
    Thread[] threads = new Thread[10];
    for (int x = 0; x < threads.length; x++) {
        list.add(null);
    }
    for (int x = 0; x < threads.length; x++) {
        threads[x] = new Thread(new Runnable() {

            @Override
            public void run() {
                Random rnd = Nd4j.getRandom();
                rnd.setSeed(119);
                INDArray array = Nd4j.getExecutioner().exec(new UniformDistribution(Nd4j.createUninitialized(25)));
                Nd4j.getExecutioner().commit();
                list.set(cnt.getAndIncrement(), array);
            }
        });
        threads[x].start();
    }
    for (int x = 0; x < threads.length; x++) {
        threads[x].join();
        assertNotEquals(null, list.get(x));
        if (x > 0) {
            assertEquals(list.get(0), list.get(x));
        }
    }
}

Example 37 with Random

use of org.nd4j.linalg.api.rng.Random in project nd4j by deeplearning4j.

the class RandomTests method testGaussianDistribution1.

@Test
public void testGaussianDistribution1() throws Exception {
    Random random1 = Nd4j.getRandomFactory().getNewRandomInstance(119);
    Random random2 = Nd4j.getRandomFactory().getNewRandomInstance(119);
    INDArray z1 = Nd4j.create(100000);
    INDArray z2 = Nd4j.create(100000);
    INDArray zDup = z1.dup();
    GaussianDistribution op1 = new GaussianDistribution(z1, 0.0, 1.0);
    Nd4j.getExecutioner().exec(op1, random1);
    GaussianDistribution op2 = new GaussianDistribution(z2, 0.0, 1.0);
    Nd4j.getExecutioner().exec(op2, random2);
    assertNotEquals(zDup, z1);
    assertEquals(0.0, z1.meanNumber().doubleValue(), 0.01);
    assertEquals(1.0, z1.stdNumber().doubleValue(), 0.01);
    assertEquals(z1, z2);
}

Example 38 with Random

use of org.nd4j.linalg.api.rng.Random in project nd4j by deeplearning4j.

the class RandomFactory method getNewRandomInstance.

/**
 * This method returns new onject implementing Random interface, initialized with seed value
 *
 * @param seed seed for this rng object
 * @return object implementing Random interface
 */
public Random getNewRandomInstance(long seed) {
    try {
        Random t = (Random) randomClass.newInstance();
        if (t.getStatePointer() != null) {
        // TODO: attach this thing to deallocator
        // if it's stateless random - we just don't care then
        }
        t.setSeed(seed);
        return t;
    } catch (Exception e) {
        throw new RuntimeException(e);
    }
}