Mohamed Issa c8bbcaf5de 8348638: Performance regression in Math.tanh
Reviewed-by: jbhateja, epeter, sviswanathan
2025-05-02 17:21:50 +00:00

155 lines
5.5 KiB
Java

/*
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package org.openjdk.bench.java.lang;
import java.util.concurrent.TimeUnit;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Fork;
import org.openjdk.jmh.annotations.Measurement;
import org.openjdk.jmh.annotations.Mode;
import org.openjdk.jmh.annotations.Param;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.Setup;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.Level;
import org.openjdk.jmh.annotations.Warmup;
import org.openjdk.jmh.annotations.OperationsPerInvocation;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.runner.Runner;
import org.openjdk.jmh.runner.RunnerException;
import org.openjdk.jmh.runner.options.Options;
import org.openjdk.jmh.runner.options.OptionsBuilder;
import java.util.Random;
public class TanhPerf {
@Warmup(iterations = 3, time = 5, timeUnit = TimeUnit.MILLISECONDS)
@Measurement(iterations = 4, time = 5, timeUnit = TimeUnit.MILLISECONDS)
@Fork(2)
@BenchmarkMode(Mode.Throughput)
@State(Scope.Thread)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public static class TanhPerfRanges {
public static int tanhInputCount = 2048;
@Param({"0", "1", "2", "3"})
public int tanhRangeIndex;
public double [] tanhPosRandInputs;
public double [] tanhNegRandInputs;
public int tanhInputIndex = 0;
public double tanhRangeInputs[][] = {{0.0, 0x1.0P-55}, {0x1.0P-55, 1.0}, {1.0, 22.0}, {22.1, 1.7976931348623157E308} };
@Setup
public void setupValues() {
Random random = new Random(1023);
// Fill the positive and negative tanh vectors with random values
tanhPosRandInputs = new double[tanhInputCount];
tanhNegRandInputs = new double[tanhInputCount];
for (int i = 0; i < tanhInputCount; i++) {
double tanhLowerBound = tanhRangeInputs[tanhRangeIndex][0];
double tanhUpperBound = tanhRangeInputs[tanhRangeIndex][1];
tanhPosRandInputs[i] = random.nextDouble(tanhLowerBound, tanhUpperBound);
tanhNegRandInputs[i] = random.nextDouble(-tanhUpperBound, -tanhLowerBound);
}
}
@Benchmark
@OperationsPerInvocation(2048)
public double tanhPosRangeDouble() {
double res = 0.0;
for (int i = 0; i < tanhInputCount; i++) {
res += Math.tanh(tanhPosRandInputs[i]);
}
return res;
}
@Benchmark
@OperationsPerInvocation(2048)
public double tanhNegRangeDouble() {
double res = 0.0;
for (int i = 0; i < tanhInputCount; i++) {
res += Math.tanh(tanhNegRandInputs[i]);
}
return res;
}
}
@Warmup(iterations = 3, time = 5, timeUnit = TimeUnit.SECONDS)
@Measurement(iterations = 4, time = 5, timeUnit = TimeUnit.SECONDS)
@Fork(2)
@BenchmarkMode(Mode.Throughput)
@State(Scope.Thread)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
public static class TanhPerfConstant {
public static final double constDoubleTiny = 0x1.0P-57;
public static final double constDoubleSmall = 0x1.0P-54;
public static final double constDouble1 = 1.0;
public static final double constDouble21 = 21.0;
public static final double constDoubleLarge = 23.0;
@Benchmark
public double tanhConstDoubleTiny() {
return Math.tanh(constDoubleTiny);
}
@Benchmark
public double tanhConstDoubleSmall() {
return Math.tanh(constDoubleSmall);
}
@Benchmark
public double tanhConstDouble1() {
return Math.tanh(constDouble1);
}
@Benchmark
public double tanhConstDouble21() {
return Math.tanh(constDouble21);
}
@Benchmark
public double tanhConstDoubleLarge() {
return Math.tanh(constDoubleLarge);
}
}
public static void main(String[] args) throws RunnerException {
Options opt = new OptionsBuilder()
.include(TanhPerfRanges.class.getSimpleName())
.build();
new Runner(opt).run();
opt = new OptionsBuilder()
.include(TanhPerfConstant.class.getSimpleName())
.build();
new Runner(opt).run();
}
}