98 lines
4.4 KiB
Java
98 lines
4.4 KiB
Java
/*
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* ******************************************************************************
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* *
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* *
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* * This program and the accompanying materials are made available under the
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* * terms of the Apache License, Version 2.0 which is available at
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* * https://www.apache.org/licenses/LICENSE-2.0.
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* *
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* * See the NOTICE file distributed with this work for additional
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* * information regarding copyright ownership.
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* * Unless required by applicable law or agreed to in writing, software
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* * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * License for the specific language governing permissions and limitations
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* * under the License.
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* *
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* * SPDX-License-Identifier: Apache-2.0
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* *****************************************************************************
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*/
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package org.deeplearning4j.parallelism.parameterserver;
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import io.aeron.driver.MediaDriver;
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import net.brutex.ai.dnn.api.IModel;
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import org.deeplearning4j.nn.conf.WorkspaceMode;
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import org.deeplearning4j.optimize.api.TrainingListener;
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import org.deeplearning4j.parallelism.ParallelWrapper;
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import org.deeplearning4j.parallelism.factory.TrainerContext;
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import org.deeplearning4j.parallelism.trainer.Trainer;
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import org.nd4j.parameterserver.client.ParameterServerClient;
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import org.nd4j.parameterserver.node.ParameterServerNode;
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public class ParameterServerTrainerContext implements TrainerContext {
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private ParameterServerNode parameterServerNode;
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private MediaDriver mediaDriver;
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private MediaDriver.Context mediaDriverContext;
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private final int statusServerPort = 33000;
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private final int numUpdatesPerEpoch = 1;
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private String[] parameterServerArgs;
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private final int numWorkers = 1;
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/**
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* Initialize the context
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*
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* @param model
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* @param args the arguments to initialize with (maybe null)
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*/
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@Override
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public void init(IModel model, Object... args) {
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mediaDriverContext = new MediaDriver.Context();
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mediaDriver = MediaDriver.launchEmbedded(mediaDriverContext);
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parameterServerNode = new ParameterServerNode(mediaDriver, statusServerPort, numWorkers);
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if (parameterServerArgs == null)
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parameterServerArgs = new String[] {"-m", "true", "-s", "1," + model.numParams(), "-p",
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"40323", "-h", "localhost", "-id", "11", "-md", mediaDriver.aeronDirectoryName(), "-sh",
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"localhost", "-sp", String.valueOf(statusServerPort), "-u",
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String.valueOf(numUpdatesPerEpoch)};
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}
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/**
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* Create a {@link Trainer}
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* based on the given parameters
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*
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* @param threadId the thread id to use for this worker
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* @param model the model to start the trainer with
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* @param rootDevice the root device id
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* @param useMDS whether to use MultiDataSet or DataSet
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* or not
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* @param wrapper the wrapper instance to use with this trainer (this refernece is needed
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* for coordination with the {@link ParallelWrapper} 's {@link TrainingListener}
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* @return the created training instance
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*/
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@Override
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public Trainer create(String uuid, int threadId, IModel model, int rootDevice, boolean useMDS, ParallelWrapper wrapper,
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WorkspaceMode mode, int averagingFrequency) {
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return ParameterServerTrainer.builder().originalModel(model).parameterServerClient(ParameterServerClient
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.builder().aeron(parameterServerNode.getAeron())
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.ndarrayRetrieveUrl(
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parameterServerNode.getSubscriber()[threadId].getResponder().connectionUrl())
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.ndarraySendUrl(parameterServerNode.getSubscriber()[threadId].getSubscriber().connectionUrl())
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.subscriberHost("localhost").masterStatusHost("localhost").masterStatusPort(statusServerPort)
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.subscriberPort(40625 + threadId).subscriberStream(12 + threadId).build())
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.replicatedModel(model).threadId(threadId).parallelWrapper(wrapper).useMDS(useMDS).build();
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}
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@Override
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public void finalizeRound(IModel originalModel, IModel... models) {
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// no-op
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}
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@Override
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public void finalizeTraining(IModel originalModel, IModel... models) {
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// no-op
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}
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}
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