org.deeplearning4j.nn.updater.MultiLayerUpdater Maven / Gradle / Ivy
/*
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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.
* *
* * 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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* * SPDX-License-Identifier: Apache-2.0
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package org.deeplearning4j.nn.updater;
import lombok.Getter;
import lombok.extern.slf4j.Slf4j;
import org.deeplearning4j.nn.api.Layer;
import org.deeplearning4j.nn.api.Trainable;
import org.deeplearning4j.nn.api.Updater;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.nd4j.linalg.api.ndarray.INDArray;
import java.util.HashMap;
@Getter
@Slf4j
public class MultiLayerUpdater extends BaseMultiLayerUpdater {
public MultiLayerUpdater(MultiLayerNetwork network) {
this(network, null);
}
public MultiLayerUpdater(MultiLayerNetwork network, INDArray updaterState) {
super(network, updaterState);
layersByName = new HashMap<>();
Layer[] l = network.getLayers();
for (int i = 0; i < l.length; i++) {
layersByName.put(String.valueOf(i), l[i]);
}
}
@Override
protected Trainable[] getOrderedLayers() {
Layer[] layers = network.getLayers();
Trainable[] t = new Trainable[layers.length];
System.arraycopy(layers, 0, t, 0, layers.length);
return t;
}
@Override
public INDArray getFlattenedGradientsView() {
if (network.getFlattenedGradients() == null) {
network.initGradientsView();
}
return network.getFlattenedGradients();
}
@Override
protected INDArray getParams() {
return network.params();
}
@Override
protected boolean isMiniBatch() {
return network.conf().isMiniBatch();
}
@Override
public Updater clone() {
return new MultiLayerUpdater(network, null);
}
}