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Java example source code file (ScoreFlatMapFunctionCGMultiDataSet.java)

This example Java source code file (ScoreFlatMapFunctionCGMultiDataSet.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

arraylist, broadcast, double, flatmapfunction, illegalstateexception, indarray, iterable, list, logger, network, override, scoreflatmapfunctioncgmultidataset, string, util

The ScoreFlatMapFunctionCGMultiDataSet.java Java example source code

/*
 *
 *  * Copyright 2016 Skymind,Inc.
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://www.apache.org/licenses/LICENSE-2.0
 *  *
 *  *    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 License for the specific language governing permissions and
 *  *    limitations under the License.
 *
 */

package org.deeplearning4j.spark.impl.graph.scoring;

import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.broadcast.Broadcast;
import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.dataset.api.MultiDataSet;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.ArrayList;
import java.util.Collections;
import java.util.Iterator;
import java.util.List;

/** Function used to score a MultiDataSet using a given ComputationGraph */
public class ScoreFlatMapFunctionCGMultiDataSet implements FlatMapFunction<Iterator {

    private String json;
    private Broadcast<INDArray> params;
    private static Logger log = LoggerFactory.getLogger(ScoreFlatMapFunctionCGMultiDataSet.class);

    public ScoreFlatMapFunctionCGMultiDataSet(String json, Broadcast<INDArray> params){
        this.json = json;
        this.params = params;
    }

    @Override
    public Iterable<Double> call(Iterator dataSetIterator) throws Exception {
        if(!dataSetIterator.hasNext()) {
            return Collections.singletonList(0.0);
        }
        List<MultiDataSet> collect = new ArrayList<>();
        while(dataSetIterator.hasNext()) {
            collect.add(dataSetIterator.next());
        }

        MultiDataSet data = org.nd4j.linalg.dataset.MultiDataSet.merge(collect);

        ComputationGraph network = new ComputationGraph(ComputationGraphConfiguration.fromJson(json));
        network.init();
        INDArray val = params.value();    //.value() is shared by all executors on single machine -> OK, as params are not changed in score function
        if(val.length() != network.numParams(false))
            throw new IllegalStateException("Network did not have same number of parameters as the broadcast set parameters");
        network.setParams(val);

        double score = network.score(data,false);
        if(network.conf().isMiniBatch()) score *= data.getFeatures(0).size(0);
        return Collections.singletonList(score);
    }
}

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