[WIP] build fix (#124)
* AffinityManager changes Signed-off-by: raver119 <raver119@gmail.com> * build fixes Signed-off-by: raver119 <raver119@gmail.com>master
raver119
GitHub
parent
65ff18383a
commit
2f3d7330ce
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@ -380,19 +380,23 @@ public class VPTree implements Serializable {
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private Node buildFromPoints(INDArray items) {
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if (executorService == null && items == this.items && workers > 1) {
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final val deviceId = Nd4j.getAffinityManager().getDeviceForCurrentThread();
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executorService = Executors.newFixedThreadPool(workers, new ThreadFactory() {
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@Override
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public Thread newThread(Runnable r) {
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Thread t = Executors.defaultThreadFactory().newThread(r);
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public Thread newThread(final Runnable r) {
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Thread t = new Thread(new Runnable() {
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@Override
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public void run() {
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Nd4j.getAffinityManager().unsafeSetDevice(deviceId);
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r.run();
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}
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});
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t.setDaemon(true);
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t.setName("VPTree thread");
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// we don't want threads to be working on different devices
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Nd4j.getAffinityManager().attachThreadToDevice(t,
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Nd4j.getAffinityManager().getDeviceForCurrentThread());
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return t;
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}
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});
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@ -132,9 +132,8 @@ public class ParallelInference {
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boolean cRoot = !assignedRoot.get() && cDevice == currentDevice;
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assignedRoot.compareAndSet(false, cRoot);
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zoo[i] = new InferenceWorker(i, model, observables, cRoot);
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zoo[i] = new InferenceWorker(i, model, observables, cRoot, cDevice);
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Nd4j.getAffinityManager().attachThreadToDevice(zoo[i], cDevice);
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zoo[i].setDaemon(true);
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zoo[i].start();
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}
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@ -425,13 +424,15 @@ public class ParallelInference {
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private Model replicatedModel;
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private AtomicLong counter = new AtomicLong(0);
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private boolean rootDevice;
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private int deviceId;
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private ReentrantReadWriteLock modelLock = new ReentrantReadWriteLock();
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private InferenceWorker(int id, @NonNull Model model, @NonNull BlockingQueue inputQueue, boolean rootDevice) {
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private InferenceWorker(int id, @NonNull Model model, @NonNull BlockingQueue inputQueue, boolean rootDevice, int deviceId) {
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this.inputQueue = inputQueue;
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this.protoModel = model;
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this.rootDevice = rootDevice;
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this.deviceId = deviceId;
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this.setDaemon(true);
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this.setName("InferenceThread-" + id);
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@ -491,6 +492,7 @@ public class ParallelInference {
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@Override
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public void run() {
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Nd4j.getAffinityManager().unsafeSetDevice(deviceId);
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try {
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// model should be replicated & initialized here
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initializeReplicaModel();
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@ -151,18 +151,21 @@ public class ParallelWrapper implements AutoCloseable {
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workerCounter.set(0);
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this.executorService = (ThreadPoolExecutor) Executors.newFixedThreadPool(workers, new ThreadFactory() {
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@Override
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public Thread newThread(@NonNull Runnable r) {
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Thread t = Executors.defaultThreadFactory().newThread(r);
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public Thread newThread(@NonNull final Runnable r) {
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final int cThread = workerCounter.getAndIncrement();
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int cThread = workerCounter.getAndIncrement();
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Thread t = new Thread(new Runnable() {
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@Override
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public void run() {
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Nd4j.getAffinityManager().unsafeSetDevice(cThread % Nd4j.getAffinityManager().getNumberOfDevices());
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r.run();
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}
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});
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t.setName("ParallelWrapper training thread " + cThread);
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t.setDaemon(true);
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t.setUncaughtExceptionHandler(handler);
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Nd4j.getAffinityManager().attachThreadToDevice(t,
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cThread % Nd4j.getAffinityManager().getNumberOfDevices());
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return t;
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}
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});
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@ -108,7 +108,7 @@ public class EvaluationRunner {
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INDArray p;
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try{
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p = Nd4j.read(new ByteArrayInputStream(pBytes));
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} catch (IOException e){
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} catch (RuntimeException e){
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throw new RuntimeException(e); //Should never happen
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}
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DeviceLocalNDArray dlp = new DeviceLocalNDArray(p);
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@ -97,13 +97,12 @@ public class SparkADSI extends AsyncDataSetIterator {
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context = TaskContext.get();
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this.thread = new SparkPrefetchThread(buffer, iterator, terminator, null);
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this.thread = new SparkPrefetchThread(buffer, iterator, terminator, null, Nd4j.getAffinityManager().getDeviceForCurrentThread());
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/**
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* We want to ensure, that background thread will have the same thread->device affinity, as master thread
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*/
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Nd4j.getAffinityManager().attachThreadToDevice(thread, deviceId);
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thread.setDaemon(true);
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thread.start();
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}
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@ -116,9 +115,8 @@ public class SparkADSI extends AsyncDataSetIterator {
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public class SparkPrefetchThread extends AsyncPrefetchThread {
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protected SparkPrefetchThread(BlockingQueue<DataSet> queue, DataSetIterator iterator, DataSet terminator,
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MemoryWorkspace workspace) {
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super(queue, iterator, terminator, workspace);
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protected SparkPrefetchThread(BlockingQueue<DataSet> queue, DataSetIterator iterator, DataSet terminator, MemoryWorkspace workspace, int deviceId) {
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super(queue, iterator, terminator, workspace, deviceId);
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}
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@ -97,15 +97,10 @@ public class SparkAMDSI extends AsyncMultiDataSetIterator {
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if (iterator.resetSupported())
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this.backedIterator.reset();
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this.thread = new SparkPrefetchThread(buffer, iterator, terminator);
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this.thread = new SparkPrefetchThread(buffer, iterator, terminator, Nd4j.getAffinityManager().getDeviceForCurrentThread());
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context = TaskContext.get();
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/**
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* We want to ensure, that background thread will have the same thread->device affinity, as master thread
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*/
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Nd4j.getAffinityManager().attachThreadToDevice(thread, deviceId);
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thread.setDaemon(true);
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thread.start();
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}
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@ -117,9 +112,8 @@ public class SparkAMDSI extends AsyncMultiDataSetIterator {
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protected class SparkPrefetchThread extends AsyncPrefetchThread {
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protected SparkPrefetchThread(@NonNull BlockingQueue<MultiDataSet> queue,
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@NonNull MultiDataSetIterator iterator, @NonNull MultiDataSet terminator) {
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super(queue, iterator, terminator);
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protected SparkPrefetchThread(@NonNull BlockingQueue<MultiDataSet> queue, @NonNull MultiDataSetIterator iterator, @NonNull MultiDataSet terminator, int deviceId) {
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super(queue, iterator, terminator, deviceId);
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}
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}
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}
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@ -34,6 +34,12 @@ public interface AffinityManager {
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*/
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Integer getDeviceForCurrentThread();
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/**
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* This method returns deviceId for a given thread
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* @return
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*/
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Integer getDeviceForThread(long threadId);
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/**
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* This method returns id of current device for a given INDArray
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@ -28,6 +28,11 @@ public abstract class BasicAffinityManager implements AffinityManager {
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return 0;
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}
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@Override
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public Integer getDeviceForThread(long threadId) {
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return 0;
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}
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@Override
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public Integer getDeviceForArray(INDArray array) {
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return 0;
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@ -68,7 +68,24 @@ public class CudaAffinityManager extends BasicAffinityManager {
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*/
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@Override
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public Integer getDeviceForCurrentThread() {
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return NativeOpsHolder.getInstance().getDeviceNativeOps().getDevice();
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val id = NativeOpsHolder.getInstance().getDeviceNativeOps().getDevice();
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if (!affinityMap.containsKey(Thread.currentThread().getId()))
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affinityMap.put(Thread.currentThread().getId(), id);
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return id;
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}
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/**
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* This method returns deviceId for a given thread
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* @return
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*/
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@Override
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public Integer getDeviceForThread(long threadId) {
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val id = affinityMap.get(threadId);
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if (id == null)
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throw new RuntimeException("Affinity for thread [" + threadId + "] wasn't defined yet");
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return id;
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}
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@ -11131,7 +11131,7 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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// REGISTER_C(NAME)
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// nd4j::ShapeList* nd4j::ops::NAME::calculateOutputShape(nd4j::ShapeList* inputShape, nd4j::graph::Context& block) {
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// auto shapeList = SHAPELIST();
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// for (int e = 0; e < this->getOpDescriptor()->getNumberOfOutputs(); e++) {
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// for (int e = 0; e < block.width(); e++) {
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// auto newshape = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inputShape->at(e)), shape::order(inputShape->at(e)), shape::rank(inputShape->at(e)), shape::shapeOf(inputShape->at(e)));
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// shapeList->push_back(newshape);
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// }
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@ -11168,7 +11168,7 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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// REGISTER_C(NAME)
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// nd4j::ShapeList* nd4j::ops::NAME::calculateOutputShape(nd4j::ShapeList* inputShape, nd4j::graph::Context& block) {
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// auto shapeList = SHAPELIST();
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// for (int e = 0; e < this->getOpDescriptor()->getNumberOfOutputs(); e++) {
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// for (int e = 0; e < block.width(); e++) {
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// Nd4jLong* newshape;
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// COPY_SHAPE(inputShape->at(0), newshape);
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// shapeList->push_back(CONSTANT(newshape));
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@ -11191,7 +11191,7 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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// REGISTER_C(NAME)
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// nd4j::ShapeList* nd4j::ops::NAME::calculateOutputShape(nd4j::ShapeList* inputShape, nd4j::graph::Context& block) {
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// auto shapeList = SHAPELIST();
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// for (int e = 0; e < this->getOpDescriptor()->getNumberOfOutputs(); e++) {
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// for (int e = 0; e < block.width(); e++) {
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// auto newshape = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inputShape->at(e)), shape::order(inputShape->at(e)), shape::rank(inputShape->at(e)), shape::shapeOf(inputShape->at(e)));
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// shapeList->push_back(newshape);
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// }
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@ -16282,9 +16282,15 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
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}
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// #endif
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/*
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* Complete tensor with max indices merged from all input tensors list
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*
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* INPUT: tensors with the same shape
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* OUTPUT: integer tensor with the same shape
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* INT_ARG: result type (one of int), INT32 by default
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*/
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// #if NOT_EXCLUDED(OP_mergemaxindex)
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@Namespace("nd4j::ops") public static class mergemaxindex extends DeclarableOp {
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@Namespace("nd4j::ops") public static class mergemaxindex extends DeclarableCustomOp {
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static { Loader.load(); }
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/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
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public mergemaxindex(Pointer p) { super(p); }
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@ -16295,10 +16301,10 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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return (mergemaxindex)super.position(position);
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}
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public mergemaxindex() { super((Pointer)null); allocate(); }
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private native void allocate();
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public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
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}
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public mergemaxindex() { super((Pointer)null); allocate(); }
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private native void allocate();
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public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
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}
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// #endif
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// #if NOT_EXCLUDED(OP_mergeadd)
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@ -21746,7 +21752,7 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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/**
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* This operation shift individual bits of each element in array
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* This operation shift individual bits of each element in array to the left: <<
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*
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* PLEASE NOTE: This operation is applicable only to integer data types
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*
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@ -21771,7 +21777,32 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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// #endif
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/**
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* This operation shift individual bits of each element in array
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* This operation shift individual bits of each element in array to the right: >>
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*
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* PLEASE NOTE: This operation is applicable only to integer data types
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*
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* \tparam T
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*/
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// #if NOT_EXCLUDED(OP_rshift_bits)
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@Namespace("nd4j::ops") public static class rshift_bits extends DeclarableOp {
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static { Loader.load(); }
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/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
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public rshift_bits(Pointer p) { super(p); }
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/** Native array allocator. Access with {@link Pointer#position(long)}. */
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public rshift_bits(long size) { super((Pointer)null); allocateArray(size); }
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private native void allocateArray(long size);
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@Override public rshift_bits position(long position) {
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return (rshift_bits)super.position(position);
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}
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public rshift_bits() { super((Pointer)null); allocate(); }
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private native void allocate();
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public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
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}
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// #endif
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/**
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* This operation shift individual bits of each element in array, shifting to the left
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*
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* PLEASE NOTE: This operation is applicable only to integer data types
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*
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@ -21794,6 +21825,31 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
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}
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// #endif
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/**
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* This operation shift individual bits of each element in array, shifting to the right
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*
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* PLEASE NOTE: This operation is applicable only to integer data types
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*
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* \tparam T
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*/
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// #if NOT_EXCLUDED(OP_cyclic_rshift_bits)
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@Namespace("nd4j::ops") public static class cyclic_rshift_bits extends DeclarableOp {
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static { Loader.load(); }
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/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
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public cyclic_rshift_bits(Pointer p) { super(p); }
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/** Native array allocator. Access with {@link Pointer#position(long)}. */
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public cyclic_rshift_bits(long size) { super((Pointer)null); allocateArray(size); }
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private native void allocateArray(long size);
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@Override public cyclic_rshift_bits position(long position) {
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return (cyclic_rshift_bits)super.position(position);
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}
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public cyclic_rshift_bits() { super((Pointer)null); allocate(); }
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private native void allocate();
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public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
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}
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// #endif
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@ -22545,7 +22601,7 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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* PLEASE NOTE: This op is disabled atm, and reserved for future releases.
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*/
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// #if NOT_EXCLUDED(OP_to_double)
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@Namespace("nd4j::ops") public static class to_double extends DeclarableOp {
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@Namespace("nd4j::ops") public static class to_double extends DeclarableCustomOp {
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static { Loader.load(); }
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/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
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public to_double(Pointer p) { super(p); }
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@ -22556,10 +22612,10 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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return (to_double)super.position(position);
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}
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public to_double() { super((Pointer)null); allocate(); }
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private native void allocate();
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public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
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}
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public to_double() { super((Pointer)null); allocate(); }
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private native void allocate();
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public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
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}
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// #endif
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/**
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@ -22568,7 +22624,7 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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* PLEASE NOTE: This op is disabled atm, and reserved for future releases.
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*/
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// #if NOT_EXCLUDED(OP_to_float16)
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@Namespace("nd4j::ops") public static class to_float16 extends DeclarableOp {
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@Namespace("nd4j::ops") public static class to_float16 extends DeclarableCustomOp {
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static { Loader.load(); }
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/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
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public to_float16(Pointer p) { super(p); }
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@ -22579,10 +22635,10 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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return (to_float16)super.position(position);
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}
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public to_float16() { super((Pointer)null); allocate(); }
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private native void allocate();
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public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
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}
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public to_float16() { super((Pointer)null); allocate(); }
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private native void allocate();
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public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
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}
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// #endif
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/**
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@ -22591,7 +22647,7 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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* PLEASE NOTE: This op is disabled atm, and reserved for future releases.
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*/
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// #if NOT_EXCLUDED(OP_to_float32)
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@Namespace("nd4j::ops") public static class to_float32 extends DeclarableOp {
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@Namespace("nd4j::ops") public static class to_float32 extends DeclarableCustomOp {
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static { Loader.load(); }
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/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
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public to_float32(Pointer p) { super(p); }
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@ -22602,10 +22658,10 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
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return (to_float32)super.position(position);
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}
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public to_float32() { super((Pointer)null); allocate(); }
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private native void allocate();
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public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
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}
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public to_float32() { super((Pointer)null); allocate(); }
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private native void allocate();
|
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public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
|
||||
}
|
||||
// #endif
|
||||
|
||||
/**
|
||||
|
|
@ -22614,7 +22670,7 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
|
|||
* PLEASE NOTE: This op is disabled atm, and reserved for future releases.
|
||||
*/
|
||||
// #if NOT_EXCLUDED(OP_to_int32)
|
||||
@Namespace("nd4j::ops") public static class to_int32 extends DeclarableOp {
|
||||
@Namespace("nd4j::ops") public static class to_int32 extends DeclarableCustomOp {
|
||||
static { Loader.load(); }
|
||||
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
|
||||
public to_int32(Pointer p) { super(p); }
|
||||
|
|
@ -22625,10 +22681,10 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
|
|||
return (to_int32)super.position(position);
|
||||
}
|
||||
|
||||
public to_int32() { super((Pointer)null); allocate(); }
|
||||
private native void allocate();
|
||||
public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
|
||||
}
|
||||
public to_int32() { super((Pointer)null); allocate(); }
|
||||
private native void allocate();
|
||||
public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
|
||||
}
|
||||
// #endif
|
||||
|
||||
/**
|
||||
|
|
@ -22637,7 +22693,7 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
|
|||
* PLEASE NOTE: This op is disabled atm, and reserved for future releases.
|
||||
*/
|
||||
// #if NOT_EXCLUDED(OP_to_int64)
|
||||
@Namespace("nd4j::ops") public static class to_int64 extends DeclarableOp {
|
||||
@Namespace("nd4j::ops") public static class to_int64 extends DeclarableCustomOp {
|
||||
static { Loader.load(); }
|
||||
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
|
||||
public to_int64(Pointer p) { super(p); }
|
||||
|
|
@ -22648,10 +22704,10 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
|
|||
return (to_int64)super.position(position);
|
||||
}
|
||||
|
||||
public to_int64() { super((Pointer)null); allocate(); }
|
||||
private native void allocate();
|
||||
public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
|
||||
}
|
||||
public to_int64() { super((Pointer)null); allocate(); }
|
||||
private native void allocate();
|
||||
public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
|
||||
}
|
||||
// #endif
|
||||
|
||||
/**
|
||||
|
|
@ -22660,7 +22716,7 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
|
|||
* PLEASE NOTE: This op is disabled atm, and reserved for future releases.
|
||||
*/
|
||||
// #if NOT_EXCLUDED(OP_to_uint32)
|
||||
@Namespace("nd4j::ops") public static class to_uint32 extends DeclarableOp {
|
||||
@Namespace("nd4j::ops") public static class to_uint32 extends DeclarableCustomOp {
|
||||
static { Loader.load(); }
|
||||
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
|
||||
public to_uint32(Pointer p) { super(p); }
|
||||
|
|
@ -22671,10 +22727,10 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
|
|||
return (to_uint32)super.position(position);
|
||||
}
|
||||
|
||||
public to_uint32() { super((Pointer)null); allocate(); }
|
||||
private native void allocate();
|
||||
public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
|
||||
}
|
||||
public to_uint32() { super((Pointer)null); allocate(); }
|
||||
private native void allocate();
|
||||
public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
|
||||
}
|
||||
// #endif
|
||||
|
||||
/**
|
||||
|
|
@ -22683,7 +22739,7 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
|
|||
* PLEASE NOTE: This op is disabled atm, and reserved for future releases.
|
||||
*/
|
||||
// #if NOT_EXCLUDED(OP_to_uint64)
|
||||
@Namespace("nd4j::ops") public static class to_uint64 extends DeclarableOp {
|
||||
@Namespace("nd4j::ops") public static class to_uint64 extends DeclarableCustomOp {
|
||||
static { Loader.load(); }
|
||||
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
|
||||
public to_uint64(Pointer p) { super(p); }
|
||||
|
|
@ -22694,10 +22750,10 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
|
|||
return (to_uint64)super.position(position);
|
||||
}
|
||||
|
||||
public to_uint64() { super((Pointer)null); allocate(); }
|
||||
private native void allocate();
|
||||
public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
|
||||
}
|
||||
public to_uint64() { super((Pointer)null); allocate(); }
|
||||
private native void allocate();
|
||||
public native ShapeList calculateOutputShape(ShapeList inputShape, @ByRef Context block);
|
||||
}
|
||||
// #endif
|
||||
|
||||
/**
|
||||
|
|
|
|||
Loading…
Reference in New Issue