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Pure Java Neural Networks Components
/*
* 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.java;
import com.google.gson.JsonObject;
import com.simiacryptus.mindseye.lang.DataSerializer;
import com.simiacryptus.mindseye.lang.Layer;
import com.simiacryptus.mindseye.lang.Tensor;
import com.simiacryptus.mindseye.layers.ValueLayer;
import com.simiacryptus.mindseye.network.DAGNetwork;
import com.simiacryptus.mindseye.network.DAGNode;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import javax.annotation.Nonnull;
import java.util.Map;
import java.util.UUID;
/**
* Works as a single-input terminal loss function which compares the input apply a preset constant target tensor.
*/
@SuppressWarnings("serial")
public class TargetValueLayer extends DAGNetwork {
@SuppressWarnings("unused")
private static final Logger log = LoggerFactory.getLogger(TargetValueLayer.class);
private final DAGNode head;
private final DAGNode target;
/**
* Instantiates a new Target value key.
*
* @param values the values
*/
public TargetValueLayer(final double... values) {
super(1);
target = wrap(ValueLayer.wrap(new Tensor(values)));
head = wrap(new MeanSqLossLayer(), getInput(0), target.addRef());
}
/**
* Instantiates a new Target value key.
*
* @param json the json
* @param rs the rs
*/
protected TargetValueLayer(@Nonnull final JsonObject json, Map rs) {
super(json, rs);
head = getNodeById(UUID.fromString(json.getAsJsonPrimitive("head").getAsString()));
target = getNodeById(UUID.fromString(json.getAsJsonPrimitive("target").getAsString()));
}
/**
* From json nn key.
*
* @param inner the heapCopy
* @param rs the rs
* @return the nn key
*/
public static Layer fromJson(@Nonnull final JsonObject inner, Map rs) {
return new TargetValueLayer(inner, rs);
}
@Override
protected void _free() {
head.freeRef();
target.freeRef();
super._free();
}
@Override
public DAGNode getHead() {
head.addRef();
return head;
}
@Override
public JsonObject getJson(Map resources, DataSerializer dataSerializer) {
final JsonObject json = super.getJson(resources, dataSerializer);
json.addProperty("target", target.getId().toString());
return json;
}
/**
* Sets target.
*
* @param value the value
* @return the target
*/
@Nonnull
public TargetValueLayer setTarget(final double... value) {
target.getLayer().setData(new Tensor(value));
return this;
}
}