@Test
public void testCalcJacobi() {
final NNffbpAlphaTabFast tab = loadTestNet();
final double[] nnInput = new double[] {1.0, 3.4, 6.988, 4.4, 7.0, 16.21};
final NNCalc nnCalc = tab.calcJacobi(nnInput);
final double[] expNnOutput = new double[] {0.9999546066706964};
assertEquals(expNnOutput[0], nnCalc.getNnOutput()[0], 1.0e-6);
final double[][] expJacobiMatrix =
new double[][] {
{
-7.3325278006568306E-6, 3.2639459486171825E-6, 7.527711538784537E-6,
-8.186466522910375E-6, 9.557482758745628E-6, 1.2507178214659703E-5
}
};
final double[][] jacobiMatrix = nnCalc.getJacobiMatrix();
for (int i = 0; i < jacobiMatrix.length; i++) {
for (int j = 0; j < jacobiMatrix[i].length; j++) {
assertEquals(expJacobiMatrix[i][j], jacobiMatrix[i][j], 1.0e-6);
}
}
}
@SuppressWarnings({"CallToSystemGC"})
// deactivated this test; it fails sometimes
public void testCalcJacobiPerformance() {
final NNffbpAlphaTabFast tab = loadTestNet();
final double[] nnInput = new double[] {1.0, 3.4, 6.988, 4.4, 7.0, 16.21};
System.gc(); // call gc in order to prevent garbage collection during performance test
final long t1 = System.nanoTime();
final int N = 100000;
for (int i = 0; i < N; i++) {
final double[] doubles = nnInput.clone();
for (int j = 0; j < doubles.length; j++) {
doubles[j] += 1.0e-5 * Math.random();
}
final NNCalc nnCalc = tab.calcJacobi(doubles);
assertTrue(nnCalc.getNnOutput()[0] != 0.0);
}
final long t2 = System.nanoTime();
final double duration = (t2 - t1) / 1.0e9;
// using reference time in order to get rid of a constant time the duration is compared to
System.gc(); // call gc in order to prevent garbage collection during performance test
final double refTime = getReferenceTime(N);
assertTrue(duration < refTime);
}