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/*
 *
 *  * 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.earlystopping.saver;

import org.apache.commons.io.FilenameUtils;
import org.deeplearning4j.earlystopping.EarlyStoppingModelSaver;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.deeplearning4j.util.ModelSerializer;

import java.io.IOException;
import java.nio.charset.Charset;

/** Save the best (and latest/most recent) {@link ComputationGraph}s learned during early stopping training to the local file system.
* Instances of this class will save 3 files for best (and optionally, latest) models:
* (a) The network configuration: bestGraphConf.json
* (b) The network parameters: bestGraphParams.bin
* (c) The network updater: bestGraphUpdater.bin
*
* NOTE: The model updater is an object that contains the internal state for training features such as AdaGrad, Momentum * and RMSProp.
* The updater is not required to use the network at test time; it is saved in case further training is required. * Without saving the updater, any further training would result in the updater being recreated, without the benefit * of the history/internal state. This could negatively impact training performance after loading the network. * * @author Alex Black */ public class LocalFileGraphSaver implements EarlyStoppingModelSaver { private static final String bestFileName = "bestGraph.bin"; private static final String latestFileName = "latestGraph.bin"; private String directory; private Charset encoding; /**Constructor that uses default character set for configuration (json) encoding * @param directory Directory to save networks */ public LocalFileGraphSaver(String directory) { this(directory, Charset.defaultCharset()); } /** * @param directory Directory to save networks * @param encoding Character encoding for configuration (json) */ public LocalFileGraphSaver(String directory, Charset encoding){ this.directory = directory; this.encoding = encoding; } @Override public void saveBestModel(ComputationGraph net, double score) throws IOException { String confOut = FilenameUtils.concat(directory,bestFileName); save(net,confOut); } @Override public void saveLatestModel(ComputationGraph net, double score) throws IOException { String confOut = FilenameUtils.concat(directory,latestFileName); save(net,confOut); } private void save(ComputationGraph net, String confOut) throws IOException{ ModelSerializer.writeModel(net, confOut, true); } @Override public ComputationGraph getBestModel() throws IOException { String confOut = FilenameUtils.concat(directory, bestFileName); return load(confOut); } @Override public ComputationGraph getLatestModel() throws IOException { String confOut = FilenameUtils.concat(directory, latestFileName); return load(confOut); } private ComputationGraph load(String confOut) throws IOException { ComputationGraph net = ModelSerializer.restoreComputationGraph(confOut); return net; } @Override public String toString(){ return "LocalFileGraphSaver(dir=" + directory + ")"; } }




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