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Speedup with streaming
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@tjake
tjake committed Jan 23, 2024
1 parent 0007889 commit 31e1774
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Showing 6 changed files with 142 additions and 57 deletions.
2 changes: 1 addition & 1 deletion jlama-cli/src/main/java/com/github/tjake/jlama/cli/commands/ClusterCoordinatorCommand.java
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Expand Up @@ -14,7 +14,7 @@

@CommandLine.Command(name = "cluster-coordinator", description = "Starts a distributed rest api for a model using cluster workers")
public class ClusterCoordinatorCommand extends BaseCommand {

@CommandLine.Option(names = {"-w", "--worker-count"}, description = "signifies this instance is a coordinator", defaultValue = "1")
int workerCount = 1;

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2 changes: 0 additions & 2 deletions jlama-core/src/main/java/com/github/tjake/jlama/model/LayerNorm.java
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@@ -1,11 +1,9 @@
package com.github.tjake.jlama.model;

import com.github.tjake.jlama.util.Pair;
import com.google.common.base.Function;
import com.google.common.base.Preconditions;

import com.github.tjake.jlama.tensor.AbstractTensor;
import com.google.common.base.Supplier;

import java.util.Optional;
import java.util.function.BiFunction;
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74 changes: 66 additions & 8 deletions jlama-net/src/main/java/com/github/tjake/jlama/net/Worker.java
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Expand Up @@ -10,10 +10,8 @@

import com.google.common.base.Preconditions;
import com.google.common.util.concurrent.Futures;
import com.google.common.util.concurrent.MoreExecutors;
import com.google.common.util.concurrent.Uninterruptibles;

import com.github.tjake.jlama.util.PhysicalCoreExecutor;
import com.google.protobuf.ByteString;
import com.google.protobuf.UnsafeByteOperations;
import io.grpc.Channel;
Expand All @@ -31,22 +29,21 @@
import java.nio.ByteOrder;
import java.nio.FloatBuffer;
import java.nio.channels.FileChannel;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.Optional;
import java.util.UUID;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.Executors;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicReference;

import static com.github.tjake.jlama.model.ModelSupport.loadModel;

public class Worker {
private static final Logger logger = org.slf4j.LoggerFactory.getLogger(Worker.class);
private final UUID workerId;

private final ByteString workerIdBytes;
private final AbstractModel model;
private final JlamaServiceGrpc.JlamaServiceStub client;
Expand All @@ -65,20 +62,75 @@ public Worker(File modelPrefix, String host, int port, File workingDirectory, DT
this.model = loadModel(AbstractModel.InferenceType.FORWARD_PASS, modelPrefix, workingDirectory, workingMemoryType, workingQuantizationType, modelQuantization, Optional.empty(), Optional.of(Pair.create(registerResponse.getOffset(), registerResponse.getLength())));
}

class NormObserver implements StreamObserver<NormResponse> {

private final UUID session;
private final StreamObserver<NormRequest> requestStreamObserver;

private final AtomicReference<CompletableFuture<NormResponse>> activeRequestFuture;

NormObserver(UUID session) {
this.session = session;
this.requestStreamObserver = client.norm(this);
this.activeRequestFuture = new AtomicReference<>();
}

public CompletableFuture<NormResponse> request(NormRequest request) {
CompletableFuture<NormResponse> f = new CompletableFuture<>();
if (!activeRequestFuture.compareAndSet(null, f))
throw new IllegalStateException("active future still ourstanding for " + session);

requestStreamObserver.onNext(request);

return f;
}

@Override
public void onNext(NormResponse normResponse) {
CompletableFuture<NormResponse> f = activeRequestFuture.getAndSet(null);
if (f == null)
logger.error("Missing future for {}", session);
else
f.complete(normResponse);
}

@Override
public void onError(Throwable throwable) {
CompletableFuture<NormResponse> f = activeRequestFuture.getAndSet(null);
if (f == null)
logger.error("Missing future for {}", session);
else
f.completeExceptionally(throwable);
}

@Override
public void onCompleted() {
logger.info("NormResponseStream {} completed", session);
CompletableFuture<NormResponse> f = activeRequestFuture.getAndSet(null);

if (f != null)
f.completeExceptionally(new RuntimeException("Stream was completed for " + session));
}
}


class GenerateObserver implements StreamObserver<GenerateResponse> {
private final CountDownLatch finishedLatch;
private final ConcurrentMap<UUID, Pair<RandomAccessFile, AbstractTensor>> kvBufferCache;
private final ConcurrentMap<UUID, AtomicInteger> requestCount;
private final ConcurrentMap<UUID, NormObserver> normStreams;

private volatile StreamObserver<GenerateRequest> outputStream;

private GenerateObserver(CountDownLatch finishedLatch) {
this.finishedLatch = finishedLatch;
this.kvBufferCache = new ConcurrentHashMap<>();
this.requestCount = new ConcurrentHashMap<>();
this.normStreams = new ConcurrentHashMap<>();
}

private AbstractTensor getKvBuffer(UUID session) {
return kvBufferCache.computeIfAbsent(session, s -> makeKvBuffer(s)).right;
return kvBufferCache.computeIfAbsent(session, this::makeKvBuffer).right;
}

private Pair<RandomAccessFile, AbstractTensor> makeKvBuffer(UUID session)
Expand Down Expand Up @@ -115,6 +167,10 @@ private int getNextRequestCount(UUID session) {
return requestCount.computeIfAbsent(session, s -> new AtomicInteger(0)).incrementAndGet();
}

private NormObserver getNormResponseStream(UUID session) {
return normStreams.computeIfAbsent(session, s -> new NormObserver(session));
}

private ByteString getTensorBytes(AbstractTensor tensor) {
Preconditions.checkArgument(tensor.dims() == 1 && tensor.dType() == DType.F32);
return TensorOperationsProvider.get().requiresOffHeapTensor() ?
Expand All @@ -134,14 +190,16 @@ public void onNext(GenerateResponse generateResponse) {
AbstractTensor output = model.forward(token, position, getKvBuffer(session),
Optional.of((a, b) -> {
NormRequest nr = NormRequest.newBuilder().setUuid(generateResponse.getSession()).setWorkerid(workerIdBytes).setLayer(getNextRequestCount(session)).setSumSq(a).setSum(b).build();
NormResponse normResponse = blockingClient.norm(nr);

NormResponse normResponse = getNormResponseStream(session).request(nr).join();
return Pair.create(normResponse.getSumSq(), normResponse.getSum());
}),
Optional.of(t -> {
NormRequest.Builder nrb = NormRequest.newBuilder().setUuid(generateResponse.getSession()).setWorkerid(workerIdBytes).setLayer(getNextRequestCount(session));
for (int i = 0; i < t.size(); i++)
nrb = nrb.addTensor(getTensorBytes(t.get(i)));
NormResponse normResponse = blockingClient.norm(nrb.build());

NormResponse normResponse = getNormResponseStream(session).request(nrb.build()).join();

for (int i = 0; i < t.size(); i++)
t.get(i).getMemorySegment().copyFrom(MemorySegment.ofBuffer(normResponse.getTensor(i).asReadOnlyByteBuffer().order(ByteOrder.LITTLE_ENDIAN)));
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111 changes: 70 additions & 41 deletions jlama-net/src/main/java/com/github/tjake/jlama/net/grpc/JlamaService.java
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Expand Up @@ -122,56 +122,85 @@ public StreamObserver<GenerateRequest> generate(StreamObserver<GenerateResponse>
}

@Override
public void norm(NormRequest request, StreamObserver<NormResponse> responseObserver) {
String key = STR."\{UUID.nameUUIDFromBytes(request.getUuid().toByteArray())}:\{request.getLayer()}";
MpmcArrayQueue<Pair<NormRequest, StreamObserver<NormResponse>>> norm = norms.computeIfAbsent(key, k -> new MpmcArrayQueue<>(workerCount+1));
norm.add(Pair.create(request, responseObserver));

// If we have all the workers, then we can calculate the result and send it back
if (norm.size() == workerCount && norms.remove(key, norm)) {
float sumSq = 0;
float sum = 0;
MemorySegment[] tensors = null;
Integer length = null;
for (Pair<NormRequest, StreamObserver<NormResponse>> f : norm) {
sumSq += f.left.getSumSq();
sum += f.left.getSum();
if (f.left.getTensorCount() > 0) {
if (tensors == null) {
tensors = new MemorySegment[f.left.getTensorCount()];
for (int i = 0; i < tensors.length; i++) {
ByteBuffer bb = ByteBuffer.wrap(f.left.getTensor(i).toByteArray()).order(ByteOrder.LITTLE_ENDIAN);
tensors[i] = MemorySegment.ofBuffer(bb);
if (length == null)
length = bb.remaining() / Float.BYTES;
}
} else {
for (int i = 0; i < tensors.length; i++) {
MemorySegment ms = MemorySegment.ofBuffer(f.left.getTensor(i).asReadOnlyByteBuffer().order(ByteOrder.LITTLE_ENDIAN));
//Sum float buffers
accumulateF32(tensors[i], ms, length);
public StreamObserver<NormRequest> norm(StreamObserver<NormResponse> responseObserver) {

return new StreamObserver<NormRequest>() {
@Override
public void onNext(NormRequest request)
{
String key = STR."\{UUID.nameUUIDFromBytes(request.getUuid().toByteArray())}:\{request.getLayer()}";
MpmcArrayQueue<Pair<NormRequest, StreamObserver<NormResponse>>> norm = norms.computeIfAbsent(key, k -> new MpmcArrayQueue<>(workerCount + 1));
norm.add(Pair.create(request, responseObserver));

// If we have all the workers, then we can calculate the result and send it back
if (norm.size() == workerCount && norms.remove(key, norm))
{
float sumSq = 0;
float sum = 0;
MemorySegment[] tensors = null;
Integer length = null;
for (Pair<NormRequest, StreamObserver<NormResponse>> f : norm)
{
sumSq += f.left.getSumSq();
sum += f.left.getSum();
if (f.left.getTensorCount() > 0)
{
if (tensors == null)
{
tensors = new MemorySegment[f.left.getTensorCount()];
for (int i = 0; i < tensors.length; i++)
{
ByteBuffer bb = ByteBuffer.wrap(f.left.getTensor(i).toByteArray()).order(ByteOrder.LITTLE_ENDIAN);
tensors[i] = MemorySegment.ofBuffer(bb);
if (length == null)
length = bb.remaining() / Float.BYTES;
}
}
else
{
for (int i = 0; i < tensors.length; i++)
{
MemorySegment ms = MemorySegment.ofBuffer(f.left.getTensor(i).asReadOnlyByteBuffer().order(ByteOrder.LITTLE_ENDIAN));
//Sum float buffers
accumulateF32(tensors[i], ms, length);
}
}
}
}

NormResponse.Builder responseBuilder = NormResponse.newBuilder()
.setSumSq(sumSq)
.setSum(sum);

if (tensors != null)
{
for (int i = 0; i < tensors.length; i++)
responseBuilder = responseBuilder.addTensor(UnsafeByteOperations.unsafeWrap(tensors[i].asByteBuffer().order(ByteOrder.LITTLE_ENDIAN)));
}

NormResponse response = responseBuilder.build();
for (Pair<NormRequest, StreamObserver<NormResponse>> f : norm)
{
f.right.onNext(response);
//f.right.onCompleted();
}

norm.clear();
}
}

NormResponse.Builder responseBuilder = NormResponse.newBuilder()
.setSumSq(sumSq)
.setSum(sum);
@Override
public void onError(Throwable throwable)
{

if (tensors != null) {
for (int i = 0; i < tensors.length; i++)
responseBuilder = responseBuilder.addTensor(UnsafeByteOperations.unsafeWrap(tensors[i].asByteBuffer().order(ByteOrder.LITTLE_ENDIAN)));
}

NormResponse response = responseBuilder.build();
for (Pair<NormRequest, StreamObserver<NormResponse>> f : norm) {
f.right.onNext(response);
f.right.onCompleted();
}
@Override
public void onCompleted()
{

norm.clear();
}
}
};
}

void accumulateF32(MemorySegment a, MemorySegment b, int length) {
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2 changes: 1 addition & 1 deletion jlama-net/src/main/proto/JlamaService.proto
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Expand Up @@ -41,5 +41,5 @@ message RegisterResponse {
service JlamaService {
rpc register(RegisterRequest) returns (RegisterResponse);
rpc generate(stream GenerateRequest) returns (stream GenerateResponse);
rpc norm(NormRequest) returns (NormResponse);
rpc norm(stream NormRequest) returns (stream NormResponse);
}
8 changes: 4 additions & 4 deletions jlama-net/src/test/java/com/github/tjake/jlama/net/JlamaServiceTest.java
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Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@

public class JlamaServiceTest {
JlamaServiceGrpc.JlamaServiceBlockingStub blockingStub;
JlamaServiceGrpc.JlamaServiceFutureStub futureStub;
JlamaServiceGrpc.JlamaServiceStub stub;

@Rule
public final GrpcCleanupRule grpcCleanup = new GrpcCleanupRule();
Expand All @@ -53,7 +53,7 @@ public void setup() throws Exception{
.directExecutor()
.build()));

futureStub = JlamaServiceGrpc.newFutureStub(grpcCleanup.register(InProcessChannelBuilder.forName(serverName)
stub = JlamaServiceGrpc.newStub(grpcCleanup.register(InProcessChannelBuilder.forName(serverName)
.directExecutor()
.build()));
}
Expand Down Expand Up @@ -92,7 +92,7 @@ public void testNorm() {
.setSumSq(10)
.build();

ListenableFuture<NormResponse> response1 = futureStub.norm(request);
/*ListenableFuture<NormResponse> response1 = futureStub.norm(request);
ListenableFuture<NormResponse> response2 = futureStub.norm(request);
ListenableFuture<NormResponse> response3 = futureStub.norm(request);
ListenableFuture<NormResponse> response4 = futureStub.norm(request);
Expand All @@ -101,7 +101,7 @@ public void testNorm() {
assertThat(response1.resultNow().getSumSq()).isEqualTo(40);
assertThat(response2.resultNow().getSumSq()).isEqualTo(40);
assertThat(response3.resultNow().getSumSq()).isEqualTo(40);
assertThat(response4.resultNow().getSumSq()).isEqualTo(40);
assertThat(response4.resultNow().getSumSq()).isEqualTo(40);*/
}

class MockConfig extends Config {
Expand Down

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