org.deeplearning4j.parallelism.MagicQueue Maven / Gradle / Ivy
package org.deeplearning4j.parallelism;
import lombok.NonNull;
import lombok.extern.slf4j.Slf4j;
import org.nd4j.linalg.api.memory.MemoryWorkspace;
import org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration;
import org.nd4j.linalg.api.memory.enums.AllocationPolicy;
import org.nd4j.linalg.api.memory.enums.ResetPolicy;
import org.nd4j.linalg.dataset.DataSet;
import org.nd4j.linalg.dataset.MultiDataSet;
import org.nd4j.linalg.exception.ND4JIllegalStateException;
import org.nd4j.linalg.factory.Nd4j;
import java.util.*;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicLong;
/**
* Limited Queue implementation, suited for multi-gpu prefetch.
*
* Basic idea is simple: DataSets are coming from DataSetIterator, and their device location is unknown.
* So, for better performance DataSets should be transparently moved to the devices where they will be used later, and this should be done in background.
*
*
* PLEASE NOTE: This class is pending removal, since better behavior was implemented as InterleavedCallback for AsyncDataSetIterator
* @author [email protected]
*/
@Slf4j
@Deprecated
public class MagicQueue implements BlockingQueue {
public enum Mode {
THREADED, SEQUENTIAL,
}
public enum Type {
DS, MDS
}
protected final List> backingQueues;
protected final AtomicInteger nextBucket = new AtomicInteger(0);
protected final int numberOfBuckets;
protected final List handlers;
protected int capacity = 10;
protected Mode mode = Mode.THREADED;
protected Type type = null;
protected AtomicInteger interleavedCounter = new AtomicInteger(0);
protected AtomicInteger interleavedPutter = new AtomicInteger(0);
protected AtomicLong cntPut = new AtomicLong(0);
protected AtomicLong cntGet = new AtomicLong(0);
protected MagicQueue(int numberOfFlows, int capacity, Type type) {
backingQueues = new ArrayList<>();
this.type = type;
this.capacity = capacity;
handlers = new ArrayList<>();
if (numberOfFlows > 1) {
for (int i = 0; i < numberOfFlows; i++) {
LinkedBlockingQueue queue = new LinkedBlockingQueue<>(capacity);
backingQueues.add(queue);
QueueHandler handler = new QueueHandler(queue, capacity, i, type);
Nd4j.getAffinityManager().attachThreadToDevice(handler, i);
handler.start();
handlers.add(handler);
}
} else {
LinkedBlockingQueue queue = new LinkedBlockingQueue<>();
backingQueues.add(queue);
}
numberOfBuckets = numberOfFlows;
}
/**
* This method returns average queue size for all devices
* @return
*/
@Override
public int size() {
if (mode == Mode.THREADED) {
if (numberOfBuckets > 1) {
long cnt = 0;
for (int i = 0; i < numberOfBuckets; i++) {
cnt += backingQueues.get(i).size();
}
return (int) Math.floor(cnt / numberOfBuckets);
} else
return backingQueues.get(0).size();
} else {
return (int) (cntPut.get() - cntGet.get());
}
}
protected int size(int deviceId) {
if (deviceId >= backingQueues.size())
throw new RuntimeException("DeviceID exceeds number of actual backing queues");
return backingQueues.get(deviceId).size();
}
@Override
public boolean isEmpty() {
return size() < 1;
}
/**
* This method isn't supported
* @param o
* @return
*/
@Override
public boolean contains(Object o) {
throw new UnsupportedOperationException();
}
@Override
public int drainTo(Collection c) {
throw new UnsupportedOperationException();
}
@Override
public int drainTo(Collection c, int maxElements) {
throw new UnsupportedOperationException();
}
/**
* This method isn't supported
* @return
*/
@Override
public Iterator iterator() {
throw new UnsupportedOperationException();
}
/**
* This method isn't supported
* @return
*/
@Override
public Object[] toArray() {
throw new UnsupportedOperationException();
}
/**
* This method isn't supported
* @param a
* @param
* @return
*/
@Override
public T[] toArray(T[] a) {
throw new UnsupportedOperationException();
}
@Override
public boolean add(T dataSet) {
cntPut.incrementAndGet();
if (numberOfBuckets > 1) {
synchronized (this) {
if (nextBucket.get() >= backingQueues.size())
nextBucket.set(0);
}
handlers.get(nextBucket.getAndIncrement()).put(dataSet);
return true;
} else {
backingQueues.get(0).add(dataSet);
return true;
}
}
/**
* This method isn't supported
* @param o
* @return
*/
@Override
public boolean remove(Object o) {
throw new UnsupportedOperationException();
}
/**
* This method isn't supported
* @param c
* @return
*/
@Override
public boolean containsAll(Collection c) {
throw new UnsupportedOperationException();
}
@Override
public boolean addAll(Collection c) {
for (T ds : c) {
boolean result = add(ds);
if (!result)
return result;
}
return true;
}
/**
* This method isn't supported
* @param c
* @return
*/
@Override
public boolean removeAll(Collection c) {
throw new UnsupportedOperationException();
}
/**
* This method isn't supported
* @param c
* @return
*/
@Override
public boolean retainAll(Collection c) {
throw new UnsupportedOperationException();
}
@Override
public void clear() {
for (Queue queue : backingQueues) {
queue.clear();
}
cntPut.set(0);
cntGet.set(0);
}
@Override
public boolean offer(T dataSet) {
if (numberOfBuckets > 1) {
int deviceId = Nd4j.getAffinityManager().getDeviceForCurrentThread();
boolean res = backingQueues.get(deviceId).offer(dataSet);
if (res)
cntPut.incrementAndGet();
return res;
} else {
boolean result = backingQueues.get(0).offer(dataSet);
if (result)
cntPut.incrementAndGet();
return result;
}
}
@Override
public void put(T dataSet) throws InterruptedException {
if (numberOfBuckets > 1) {
synchronized (this) {
if (nextBucket.get() >= backingQueues.size())
nextBucket.set(0);
}
handlers.get(nextBucket.getAndIncrement()).put(dataSet);
} else {
backingQueues.get(0).add(dataSet);
}
cntPut.incrementAndGet();
}
@Override
public boolean offer(T dataSet, long timeout, TimeUnit unit) throws InterruptedException {
if (numberOfBuckets > 1) {
int deviceId = Nd4j.getAffinityManager().getDeviceForCurrentThread();
boolean res = backingQueues.get(deviceId).offer(dataSet, timeout, unit);
if (res)
cntPut.incrementAndGet();
return res;
} else {
boolean res = backingQueues.get(0).offer(dataSet, timeout, unit);
if (res)
cntPut.incrementAndGet();
return res;
}
}
@Override
public T take() throws InterruptedException {
try {
if (mode == Mode.THREADED) {
if (numberOfBuckets > 1) {
int deviceId = Nd4j.getAffinityManager().getDeviceForCurrentThread();
return backingQueues.get(deviceId).take();
} else
return backingQueues.get(0).take();
} else {
T ds = backingQueues.get(interleavedCounter.getAndIncrement()).take();
if (interleavedCounter.get() >= backingQueues.size())
interleavedCounter.set(0);
return ds;
}
} catch (InterruptedException e) {
throw e;
} finally {
cntGet.incrementAndGet();
}
}
@Override
public T remove() {
throw new UnsupportedOperationException();
}
/**
* This method is supposed to be called from managed thread, attached to specific device.
* It returns 1 DataSet element from head of the queue, and deletes that element from Queue.
* If queue is empty,
*
* Please note: if there's nothing available in Queue - NULL will be returned
* @param time time to wait for something appear in queue
* @param timeUnit TimeUnit for time param
* @return
*/
public T poll(long time, TimeUnit timeUnit) throws InterruptedException {
if (mode == Mode.THREADED) {
if (numberOfBuckets > 1) {
int deviceId = Nd4j.getAffinityManager().getDeviceForCurrentThread();
T ds = backingQueues.get(deviceId).poll(time, timeUnit);
if (ds != null)
cntGet.incrementAndGet();
return ds;
} else {
T ds = backingQueues.get(0).poll(time, timeUnit);
if (ds != null)
cntGet.incrementAndGet();
return ds;
}
} else {
//log.info("Trying queue_{}; queue_0: {}; queue_1: {}", interleavedCounter.get(), backingQueues.get(0).size(), backingQueues.get(1).size());
T ds = backingQueues.get(interleavedCounter.getAndIncrement()).poll(time, timeUnit);
if (interleavedCounter.get() >= backingQueues.size())
interleavedCounter.set(0);
if (ds != null)
cntGet.incrementAndGet();
return ds;
}
}
@Override
public int remainingCapacity() {
return 0;
}
/**
* This method is supposed to be called from managed thread, attached to specific device.
* It returns 1 DataSet element from head of the queue, and deletes that element from Queue
*
* Please note: if there's nothing available in Queue - NULL will be returned
*
* @return
*/
@Override
public T poll() {
if (mode == Mode.THREADED) {
if (numberOfBuckets > 1) {
int deviceId = Nd4j.getAffinityManager().getDeviceForCurrentThread();
T ds = backingQueues.get(deviceId).poll();
if (ds != null)
cntGet.incrementAndGet();
return ds;
} else {
T ds = backingQueues.get(0).poll();
if (ds != null)
cntGet.incrementAndGet();
return ds;
}
} else {
T ds = backingQueues.get(interleavedCounter.getAndIncrement()).poll();
if (interleavedCounter.get() >= backingQueues.size())
interleavedCounter.set(0);
if (ds != null)
cntGet.incrementAndGet();
return ds;
}
}
@Override
public T element() {
throw new UnsupportedOperationException();
}
@Override
public T peek() {
throw new UnsupportedOperationException();
}
public static class Builder {
private int numberOfBuckets = Nd4j.getAffinityManager().getNumberOfDevices();
private int capacity = 16;
private Mode mode = Mode.THREADED;
private Type type = Type.DS;
public Builder() {
}
/**
*
* @param number
* @return
*/
public Builder setNumberOfBuckets(int number) {
this.numberOfBuckets = number;
return this;
}
/**
*
* @param type
* @return
*/
public Builder setType(@NonNull Type type) {
this.type = type;
return this;
}
/**
*
* @param mode
* @return
*/
public Builder setMode(@NonNull Mode mode) {
this.mode = mode;
return this;
}
/**
* This method defines, how
*
* @param capacityPerFlow
* @return
*/
public Builder setCapacityPerFlow(int capacityPerFlow) {
if (capacityPerFlow <= 0)
throw new ND4JIllegalStateException("Capacity per flow value should be positive value");
this.capacity = capacityPerFlow;
return this;
}
public MagicQueue build() {
if (numberOfBuckets < 1)
numberOfBuckets = Nd4j.getAffinityManager().getNumberOfDevices();
MagicQueue queue = new MagicQueue(numberOfBuckets, capacity, type);
queue.mode = this.mode;
return queue;
}
}
private class QueueHandler extends Thread implements Runnable {
private final BlockingQueue targetQueue;
private final LinkedBlockingQueue bufferQueue;
private final int device;
private final int capacity;
private final Type type;
public QueueHandler(BlockingQueue queue, int capacity, int device, Type type) {
this.targetQueue = queue;
this.type = type;
this.bufferQueue = new LinkedBlockingQueue(capacity);
this.capacity = capacity;
this.device = device;
this.setDaemon(true);
this.setName("MQ_THREAD " + device);
}
public void put(T dataSet) {
try {
bufferQueue.put(dataSet);
} catch (InterruptedException e) {
//
}
}
@Override
public void run() {
Nd4j.create(1);
WorkspaceConfiguration configuration = null;
String id = "MQAD_THREAD";
log.info("MQAD_THREAD started on device [{}/{}]", device,
Nd4j.getAffinityManager().getDeviceForCurrentThread());
while (true) {
try {
DataSet ds = null;
MultiDataSet mds = null;
if (type == Type.DS)
ds = (DataSet) bufferQueue.poll(1, TimeUnit.SECONDS);
else
mds = (MultiDataSet) bufferQueue.poll(1, TimeUnit.SECONDS);
if (ds != null) {
if (configuration == null) {
long initSize = Math.max(ds.getMemoryFootprint() * capacity, 10 * 1024L * 1024L);
configuration = WorkspaceConfiguration.builder().initialSize(initSize)
.overallocationLimit(1.0).policyReset(ResetPolicy.ENDOFBUFFER_REACHED)
.policyAllocation(AllocationPolicy.OVERALLOCATE).build();
}
try (MemoryWorkspace workspace =
Nd4j.getWorkspaceManager().getAndActivateWorkspace(configuration, id)) {
// now we initialize dataset on target device (if applicable)
ds.migrate();
/*
if (ds.getFeaturesMaskArray() != null)
ds.setFeaturesMaskArray(ds.getFeaturesMaskArray().migrate());
//Nd4j.getAffinityManager().touch(ds.getFeaturesMaskArray());
if (ds.getLabelsMaskArray() != null)
ds.setLabelsMaskArray(ds.getLabelsMaskArray().migrate());
//Nd4j.getAffinityManager().touch(ds.getLabelsMaskArray());
ds.setFeatures(ds.getFeatures().migrate());
ds.setLabels(ds.getLabels().migrate());
*/
//Nd4j.getAffinityManager().touch(ds.getFeatures());
//Nd4j.getAffinityManager().touch(ds.getLabels());
}
//log.info("Tagged object as device_{}", Nd4j.getAffinityManager().getDeviceForArray(ds.getFeatures()));
targetQueue.put((T) ds);
} else if (mds != null) {
if (configuration == null) {
long initSize = Math.max(mds.getMemoryFootprint() * capacity, 10 * 1024L * 1024L);
configuration = WorkspaceConfiguration.builder().initialSize(initSize)
.overallocationLimit(1.0).policyReset(ResetPolicy.ENDOFBUFFER_REACHED)
.policyAllocation(AllocationPolicy.OVERALLOCATE).build();
}
try (MemoryWorkspace workspace =
Nd4j.getWorkspaceManager().getAndActivateWorkspace(configuration, id)) {
if (mds.getFeaturesMaskArrays() != null)
for (int i = 0; i < mds.getFeaturesMaskArrays().length; i++)
mds.getFeaturesMaskArrays()[i] = mds.getFeaturesMaskArrays()[i].migrate();
if (mds.getLabelsMaskArrays() != null)
for (int i = 0; i < mds.getLabelsMaskArrays().length; i++)
mds.getLabelsMaskArrays()[i] = mds.getLabelsMaskArrays()[i].migrate();
if (mds.getLabels() != null)
for (int i = 0; i < mds.getLabels().length; i++)
mds.getLabels()[i] = mds.getLabels()[i].migrate();
if (mds.getFeatures() != null)
for (int i = 0; i < mds.getFeatures().length; i++)
mds.getFeatures()[i] = mds.getFeatures()[i].migrate();
targetQueue.put((T) mds);
}
}
} catch (InterruptedException e) {
log.warn("Got InterruptedException...");
break;
}
}
}
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy