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/*
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 *  * This program and the accompanying materials are made available under the
 *  * terms of the Apache License, Version 2.0 which is available at
 *  * https://www.apache.org/licenses/LICENSE-2.0.
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 *  *  See the NOTICE file distributed with this work for additional
 *  *  information regarding copyright ownership.
 *  * Unless required by applicable law or agreed to in writing, software
 *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 *  * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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 *  * under the License.
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package org.deeplearning4j.optimize.solvers.accumulation;

import lombok.NonNull;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;

public class LocalHandler implements MessageHandler {
    protected transient GradientsAccumulator accumulator;

    public LocalHandler() {
        //
    }

    @Override
    public void initialize(@NonNull GradientsAccumulator accumulator) {
        this.accumulator = accumulator;
    }

    @Override
    public boolean broadcastUpdates(INDArray updates, int iterationNumber, int epochNumber) {
        // we just loop back data immediately
        accumulator.receiveUpdate(updates);

        updates.assign(0.0);

        Nd4j.getExecutioner().commit();

        return true;
    }
}




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