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IterationGradientDescent.java
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/
IterationGradientDescent.java
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/*
* Copyright 2015 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.optimize.solvers;
import org.deeplearning4j.berkeley.Pair;
import org.deeplearning4j.nn.api.Model;
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
import org.deeplearning4j.nn.gradient.Gradient;
import org.deeplearning4j.optimize.api.IterationListener;
import org.deeplearning4j.optimize.api.StepFunction;
import org.deeplearning4j.optimize.api.TerminationCondition;
import org.nd4j.linalg.api.ndarray.INDArray;
import java.util.Collection;
/**
* No line search gradient descent
* @author Adam Gibson
*/
public class IterationGradientDescent extends BaseOptimizer {
public IterationGradientDescent(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Model model) {
super(conf, stepFunction, iterationListeners, model);
}
public IterationGradientDescent(NeuralNetConfiguration conf, StepFunction stepFunction, Collection<IterationListener> iterationListeners, Collection<TerminationCondition> terminationConditions, Model model) {
super(conf, stepFunction, iterationListeners, terminationConditions, model);
}
@Override
public boolean optimize() {
for(int i = 0; i < conf.getNumIterations(); i++) {
Pair<Gradient,Double> score = gradientAndScore();
// model.update(score.getFirst()); // this line causing very bad optimization results
for(IterationListener listener : conf.getListeners())
listener.iterationDone(model,i);
log.info("Error at iteration " + i + " was " + model.score());
}
return true;
}
@Override
public void preProcessLine(INDArray line) {
if(conf.isConstrainGradientToUnitNorm())
line.divi(line.norm2(Integer.MAX_VALUE));
}
@Override
public void postStep() {
}
}