
com.simiacryptus.mindseye.layers.cudnn.MeanSqLossLayer Maven / Gradle / Ivy
/*
* Copyright (c) 2019 by Andrew Charneski.
*
* The author licenses this file to you 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 com.simiacryptus.mindseye.layers.cudnn;
import com.google.gson.JsonObject;
import com.simiacryptus.mindseye.lang.DataSerializer;
import com.simiacryptus.mindseye.network.InnerNode;
import com.simiacryptus.mindseye.network.PipelineNetwork;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import javax.annotation.Nonnull;
import java.util.Map;
import java.util.UUID;
@SuppressWarnings("serial")
public class MeanSqLossLayer extends PipelineNetwork {
@SuppressWarnings("unused")
private static final Logger log = LoggerFactory.getLogger(MeanSqLossLayer.class);
private final InnerNode binaryNode;
private double alpha = 1.0;
public MeanSqLossLayer() {
super(2);
this.binaryNode = wrap(new BinarySumLayer(alpha, -alpha), getInput(0), getInput(1));
wrap(new SquareActivationLayer()).freeRef();
wrap(new AvgReducerLayer()).freeRef();
}
protected MeanSqLossLayer(@Nonnull final JsonObject id, Map rs) {
super(id, rs);
alpha = id.get("alpha").getAsDouble();
binaryNode = (InnerNode) getNodeById(UUID.fromString(id.get("binaryNode").getAsString()));
}
public static MeanSqLossLayer fromJson(final JsonObject json, Map rs) {
return new MeanSqLossLayer(json, rs);
}
@Override
protected void _free() {
binaryNode.freeRef();
super._free();
}
@Override
public JsonObject getJson(Map resources, DataSerializer dataSerializer) {
JsonObject json = super.getJson(resources, dataSerializer);
json.addProperty("alpha", alpha);
json.addProperty("binaryNode", binaryNode.id.toString());
return json;
}
public double getAlpha() {
return alpha;
}
public MeanSqLossLayer setAlpha(final double alpha) {
this.alpha = alpha;
BinarySumLayer binarySumLayer = binaryNode.getLayer();
binarySumLayer.setLeftFactor(alpha);
binarySumLayer.setRightFactor(-alpha);
return this;
}
}
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