下面列出了java.util.concurrent.atomic.DoubleAdder#sum() 实例代码,或者点击链接到github查看源代码,也可以在右侧发表评论。
/**
* adds by multiple threads produce correct sum
*/
public void testAddAndSumMT() throws Throwable {
final int incs = 1000000;
final int nthreads = 4;
final ExecutorService pool = Executors.newCachedThreadPool();
DoubleAdder a = new DoubleAdder();
CyclicBarrier barrier = new CyclicBarrier(nthreads + 1);
for (int i = 0; i < nthreads; ++i)
pool.execute(new AdderTask(a, barrier, incs));
barrier.await();
barrier.await();
double total = (long)nthreads * incs;
double sum = a.sum();
assertEquals(sum, total);
pool.shutdown();
}
@Override
public double f(Vec w, boolean parallel)
{
DoubleAdder sum = new DoubleAdder();
DoubleAdder weightSum = new DoubleAdder();
ParallelUtils.run(parallel, D.size(), (start, end)->
{
for(int i = start; i < end; i++)
{
DataPoint dp = D.getDataPoint(i);
Vec x = dp.getNumericalValues();
double y = getTargetY(D, i);
sum.add(loss.getLoss(w.dot(x), y)*D.getWeight(i));
weightSum.add(D.getWeight(i));
}
});
if(lambda0 > 0)
return sum.sum()/weightSum.sum() + lambda0*w.dot(w);
else
return sum.sum()/weightSum.sum();
}
/**
* adds by multiple threads produce correct sum
*/
public void testAddAndSumMT() throws Throwable {
final int incs = 1000000;
final int nthreads = 4;
final ExecutorService pool = Executors.newCachedThreadPool();
DoubleAdder a = new DoubleAdder();
CyclicBarrier barrier = new CyclicBarrier(nthreads + 1);
for (int i = 0; i < nthreads; ++i)
pool.execute(new AdderTask(a, barrier, incs));
barrier.await();
barrier.await();
double total = (long)nthreads * incs;
double sum = a.sum();
assertEquals(sum, total);
pool.shutdown();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
try {
barrier.await();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
barrier.await();
} catch (Throwable t) { throw new Error(t); }
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
@Override
public double f(Vec w, boolean parallel)
{
DoubleAdder sum = new DoubleAdder();
Vec pred = new DenseVector(D.getClassSize());//store the predictions in
//bias terms are at the end, treat them seperate and special
final int subWSize = (w.length() - (useBiasTerm ? bs.length : 0) )/D.getClassSize();
DoubleAdder weightSum = new DoubleAdder();
ParallelUtils.run(parallel, D.size(), (start, end)->
{
Vec pred_local = pred.clone();
for (int i = start; i < end; i++)
{
DataPoint dp = D.getDataPoint(i);
Vec x = dp.getNumericalValues();
for(int k = 0; k < pred_local.length(); k++)
pred_local.set(k, new SubVector(k*subWSize, subWSize, w).dot(x));
if(useBiasTerm)
pred_local.mutableAdd(new SubVector(w.length()-bs.length, bs.length, w));
loss.process(pred_local, pred_local);
int y = D.getDataPointCategory(i);
sum.add(loss.getLoss(pred_local, y)*D.getWeight(i));
weightSum.add(D.getWeight(i));
}
});
if(lambda0 > 0 )
return sum.sum()/weightSum.sum() + lambda0*w.dot(w);
return sum.sum();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
phaser.arriveAndAwaitAdvance();
phaser.arriveAndAwaitAdvance();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
phaser.arrive();
}
public void run() {
try {
barrier.await();
DoubleAdder a = adder;
for (int i = 0; i < incs; ++i)
a.add(1.0);
result = a.sum();
barrier.await();
} catch (Throwable t) { throw new Error(t); }
}