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GPU tests and example now compute multiple surrogates.

This commit is contained in:
Pedro Martinez Mediano 2018-11-25 19:45:48 +02:00
parent c616ba55d4
commit 4908276333
2 changed files with 6 additions and 5 deletions
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3
demos/java/infodynamics/demos/Example10GPUBenchmark.java
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@ -67,9 +67,10 @@ public class Example10GPUBenchmark {
miCalc.setProperty("k", "4");
miCalc.initialise(src[0].length, tgt[0].length);
miCalc.setObservations(src, tgt);
int nb_surrogates = 150;
double[] timeAndValue = new double[2];
long startTime = System.nanoTime();
timeAndValue[1] = miCalc.computeAverageLocalOfObservations();
timeAndValue[1] = miCalc.computeSignificance(nb_surrogates).actualValue;
timeAndValue[0] = (System.nanoTime() - startTime)/1000000.0;
return timeAndValue;
}

8
java/unittests/infodynamics/measures/continuous/kraskov/GPUPerformanceTester.java
View File

@ -86,14 +86,14 @@ public class GPUPerformanceTester extends TestCase {
startTime = Calendar.getInstance().getTimeInMillis();
miCalc.initialise(1,1);
miCalc.setObservations(source, dest);
cpu_val = miCalc.computeSignificance(nb_surrogates).getMeanOfDistribution();
cpu_val = miCalc.computeSignificance(nb_surrogates).actualValue;
cpu_duration = Calendar.getInstance().getTimeInMillis() - startTime;
miCalc.setProperty("USE_GPU", "true");
miCalc.initialise(1,1);
startTime = Calendar.getInstance().getTimeInMillis();
miCalc.setObservations(source, dest);
gpu_val = miCalc.computeSignificance(nb_surrogates).getMeanOfDistribution();
gpu_val = miCalc.computeSignificance(nb_surrogates).actualValue;
gpu_duration = Calendar.getInstance().getTimeInMillis() - startTime;
assertEquals(cpu_val, gpu_val, 0.0001);
@ -124,12 +124,12 @@ public class GPUPerformanceTester extends TestCase {
return;
}
int timeSteps = 10000;
int timeSteps = 1000;
RandomGenerator rg = new RandomGenerator();
double[] source = rg.generateNormalData(timeSteps, 0, 1);
double[] dest = rg.generateNormalData(timeSteps, 0, 1);
compareGPUPerformance(source, dest, "Random low-dimensional data");
compareGPUPerformanceSurrogates(source, dest, 150, "Random low-dimensional data");
return;
}