[WIP] basic handling of multi-session in ArbiterModule (routes: arbiter, arbiter/multisession)

Signed-off-by: Tamás Fenyvesi <tamas.fenyvesi@doknet.hu>
master
Tamás Fenyvesi 2020-04-23 15:26:57 +02:00
parent f1ebced7a1
commit d3c759e03f
2 changed files with 151 additions and 16 deletions

View File

@ -36,6 +36,7 @@ import org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable;
import org.deeplearning4j.arbiter.ui.misc.UIUtils;
import org.deeplearning4j.arbiter.util.ObjectUtils;
import org.deeplearning4j.nn.conf.serde.JsonMappers;
import org.deeplearning4j.ui.VertxUIServer;
import org.deeplearning4j.ui.api.Component;
import org.deeplearning4j.ui.api.*;
import org.deeplearning4j.ui.components.chart.ChartLine;
@ -77,7 +78,6 @@ public class ArbiterModule implements UIModule {
private Map<String, Long> lastUpdateForSession = Collections.synchronizedMap(new HashMap<>());
//Styles for UI:
private static final StyleTable STYLE_TABLE = new StyleTable.Builder()
.width(100, LengthUnit.Percent)
@ -134,20 +134,69 @@ public class ArbiterModule implements UIModule {
@Override
public List<Route> getRoutes() {
Route r1 = new Route("/arbiter", HttpMethod.GET, (path, rc) -> rc.response()
.putHeader("content-type", "text/html; charset=utf-8").sendFile("templates/ArbiterUI.html"));
Route r3 = new Route("/arbiter/lastUpdate", HttpMethod.GET, (path, rc) -> this.getLastUpdateTime(rc));
Route r4 = new Route("/arbiter/lastUpdate/:ids", HttpMethod.GET, (path, rc) -> this.getModelLastUpdateTimes(path.get(0), rc));
Route r5 = new Route("/arbiter/candidateInfo/:id", HttpMethod.GET, (path, rc) -> this.getCandidateInfo(path.get(0), rc));
Route r6 = new Route("/arbiter/config", HttpMethod.GET, (path, rc) -> this.getOptimizationConfig(rc));
Route r7 = new Route("/arbiter/results", HttpMethod.GET, (path, rc) -> this.getSummaryResults(rc));
Route r8 = new Route("/arbiter/summary", HttpMethod.GET, (path, rc) -> this.getSummaryStatus(rc));
boolean multiSession = VertxUIServer.getMultiSession().get();
List<Route> r = new ArrayList<>();
r.add(new Route("/arbiter/multisession", HttpMethod.GET,
(path, rc) -> rc.response().end(multiSession ? "true" : "false")));
if (multiSession) {
r.add(new Route("/arbiter", HttpMethod.GET, (path, rc) -> this.listSessions(rc)));
} else {
r.add(new Route("/arbiter", HttpMethod.GET, (path, rc) -> rc.response()
.putHeader("content-type", "text/html; charset=utf-8")
.sendFile("templates/ArbiterUI.html")));
r.add(new Route("/arbiter/lastUpdate", HttpMethod.GET, (path, rc) -> this.getLastUpdateTime(rc)));
r.add(new Route("/arbiter/lastUpdate/:ids", HttpMethod.GET,
(path, rc) -> this.getModelLastUpdateTimes(path.get(0), rc)));
r.add(new Route("/arbiter/candidateInfo/:id", HttpMethod.GET,
(path, rc) -> this.getCandidateInfo(path.get(0), rc)));
r.add(new Route("/arbiter/config", HttpMethod.GET, (path, rc) -> this.getOptimizationConfig(rc)));
r.add(new Route("/arbiter/results", HttpMethod.GET, (path, rc) -> this.getSummaryResults(rc)));
r.add(new Route("/arbiter/summary", HttpMethod.GET, (path, rc) -> this.getSummaryStatus(rc)));
Route r9a = new Route("/arbiter/sessions/all", HttpMethod.GET, (path, rc) -> this.listSessions(rc));
Route r9b = new Route("/arbiter/sessions/current", HttpMethod.GET, (path, rc) -> this.currentSession(rc));
Route r9c = new Route("/arbiter/sessions/set/:to", HttpMethod.GET, (path, rc) -> this.setSession(path.get(0), rc));
r.add(new Route("/arbiter/sessions/all", HttpMethod.GET, (path, rc) -> this.sessionInfo(rc)));
r.add(new Route("/arbiter/sessions/current", HttpMethod.GET, (path, rc) -> this.currentSession(rc)));
r.add(new Route("/arbiter/sessions/set/:to", HttpMethod.GET,
(path, rc) -> this.setSession(path.get(0), rc)));
}
return Arrays.asList(r1, r3, r4, r5, r6, r7, r8, r9a, r9b, r9c);
return r;
}
/**
* List optimization sessions. Returns a HTML list of arbiter sessions
*/
private synchronized void listSessions(RoutingContext rc) {
StringBuilder sb = new StringBuilder("<!DOCTYPE html>\n" +
"<html lang=\"en\">\n" +
"<head>\n" +
" <meta charset=\"utf-8\">\n" +
" <title>Optimization sessions - DL4J Arbiter UI</title>\n" +
" </head>\n" +
"\n" +
" <body>\n" +
" <h1>DL4J Arbiter UI</h1>\n" +
" <p>UI server is in multi-session mode." +
" To visualize an optimization session, please select one from the following list.</p>\n" +
" <h2>List of attached optimization sessions</h2>\n");
if (!knownSessionIDs.isEmpty()) {
sb.append(" <ul>");
for (String sessionId : knownSessionIDs.keySet()) {
sb.append(" <li><a href=\"train/")
.append(sessionId).append("\">")
.append(sessionId).append("</a></li>\n");
}
sb.append(" </ul>");
} else {
sb.append("No optimization session attached.");
}
sb.append(" </body>\n" +
"</html>\n");
rc.response()
.putHeader("content-type", "text/html; charset=utf-8")
.end(sb.toString());
}
@Override
@ -201,7 +250,7 @@ public class ArbiterModule implements UIModule {
.end(asJson(sid));
}
private void listSessions(RoutingContext rc) {
private void sessionInfo(RoutingContext rc) {
rc.response()
.putHeader("content-type", "application/json")
.end(asJson(knownSessionIDs.keySet()));
@ -309,7 +358,6 @@ public class ArbiterModule implements UIModule {
* Get the info for a specific candidate - last section in the UI
*
* @param candidateId ID for the candidate
* @return Content/info for the candidate
*/
private void getCandidateInfo(String candidateId, RoutingContext rc){
@ -320,7 +368,8 @@ public class ArbiterModule implements UIModule {
return;
}
GlobalConfigPersistable gcp = (GlobalConfigPersistable)ss.getStaticInfo(currentSessionID, ARBITER_UI_TYPE_ID, GlobalConfigPersistable.GLOBAL_WORKER_ID);;
GlobalConfigPersistable gcp = (GlobalConfigPersistable)ss
.getStaticInfo(currentSessionID, ARBITER_UI_TYPE_ID, GlobalConfigPersistable.GLOBAL_WORKER_ID);
OptimizationConfiguration oc = gcp.getOptimizationConfiguration();
Persistable p = ss.getLatestUpdate(currentSessionID, ARBITER_UI_TYPE_ID, candidateId);

View File

@ -16,6 +16,8 @@
package org.deeplearning4j.arbiter.optimize;
import lombok.NonNull;
import lombok.extern.slf4j.Slf4j;
import org.deeplearning4j.BaseDL4JTest;
import org.deeplearning4j.core.storage.StatsStorage;
import org.deeplearning4j.arbiter.ComputationGraphSpace;
@ -59,6 +61,7 @@ import org.nd4j.linalg.activations.Activation;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.function.Function;
import org.nd4j.linalg.lossfunctions.LossFunctions;
import java.io.File;
@ -71,8 +74,14 @@ import java.util.concurrent.TimeUnit;
/**
* Created by Alex on 19/07/2017.
*/
@Slf4j
public class TestBasic extends BaseDL4JTest {
@Override
public long getTimeoutMilliseconds() {
return 3600_000L;
}
@Test
@Ignore
public void testBasicUiOnly() throws Exception {
@ -82,6 +91,83 @@ public class TestBasic extends BaseDL4JTest {
Thread.sleep(1000000);
}
@Test
@Ignore
public void testBasicUiMultiSession() throws Exception {
Nd4j.setDefaultDataTypes(DataType.FLOAT, DataType.FLOAT);
MultiLayerSpace mls = new MultiLayerSpace.Builder()
.updater(new SgdSpace(new ContinuousParameterSpace(0.0001, 0.2)))
.l2(new ContinuousParameterSpace(0.0001, 0.05))
.addLayer(
new ConvolutionLayerSpace.Builder().nIn(1)
.nOut(new IntegerParameterSpace(5, 30))
.kernelSize(new DiscreteParameterSpace<>(new int[]{3, 3},
new int[]{4, 4}, new int[]{5, 5}))
.stride(new DiscreteParameterSpace<>(new int[]{1, 1},
new int[]{2, 2}))
.activation(new DiscreteParameterSpace<>(Activation.RELU,
Activation.SOFTPLUS, Activation.LEAKYRELU))
.build())
.addLayer(new DenseLayerSpace.Builder().nOut(new IntegerParameterSpace(32, 128))
.activation(new DiscreteParameterSpace<>(Activation.RELU, Activation.TANH))
.build(), new IntegerParameterSpace(0, 1), true) //0 to 1 layers
.addLayer(new OutputLayerSpace.Builder().nOut(10).activation(Activation.SOFTMAX)
.lossFunction(LossFunctions.LossFunction.MCXENT).build())
.setInputType(InputType.convolutionalFlat(28, 28, 1))
.build();
Map<String, Object> commands = new HashMap<>();
// commands.put(DataSetIteratorFactoryProvider.FACTORY_KEY, TestDataFactoryProviderMnist.class.getCanonicalName());
//Define configuration:
CandidateGenerator candidateGenerator = new RandomSearchGenerator(mls, commands);
DataProvider dataProvider = new MnistDataSetProvider();
String modelSavePath = new File(System.getProperty("java.io.tmpdir"), "ArbiterUiTestBasicMnist\\").getAbsolutePath();
File f = new File(modelSavePath);
if (f.exists())
f.delete();
f.mkdir();
if (!f.exists())
throw new RuntimeException();
OptimizationConfiguration configuration =
new OptimizationConfiguration.Builder()
.candidateGenerator(candidateGenerator).dataProvider(dataProvider)
.modelSaver(new FileModelSaver(modelSavePath))
.scoreFunction(new TestSetLossScoreFunction(true))
.terminationConditions(new MaxTimeCondition(120, TimeUnit.MINUTES),
new MaxCandidatesCondition(100))
.build();
IOptimizationRunner runner =
new LocalOptimizationRunner(configuration, new MultiLayerNetworkTaskCreator());
// add 3 different sessions to the same execution
HashMap<String, StatsStorage> statsStorageForSession = new HashMap<>();
for (int i = 0; i < 3; i++) {
StatsStorage ss = new InMemoryStatsStorage();
@NonNull String sessionId = "sid" + i;
statsStorageForSession.put(sessionId, ss);
StatusListener sl = new ArbiterStatusListener(sessionId, ss);
runner.addListeners(sl);
}
Function<String, StatsStorage> statsStorageProvider = statsStorageForSession::get;
UIServer uIServer = UIServer.getInstance(true, statsStorageProvider);
String serverAddress = uIServer.getAddress();
for (String sessionId : statsStorageForSession.keySet()) {
log.info("Arbiter session will start at {}/arbiter/{}", serverAddress, sessionId);
}
runner.execute();
Thread.sleep(1000000);
}
@Test
@Ignore