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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.*;
import com.simiacryptus.util.MonitoredItem;
import com.simiacryptus.util.MonitoredObject;
import com.simiacryptus.util.data.PercentileStatistics;
import com.simiacryptus.util.data.ScalarStatistics;
import javax.annotation.Nonnull;
import java.util.*;
/**
* A diagnostic pass-through key that collects value statistics of forward and backprop signals.
*/
@SuppressWarnings("serial")
public final class MonitoringSynapse extends LayerBase implements MonitoredItem {
private final ScalarStatistics backpropStatistics = new PercentileStatistics();
private final ScalarStatistics forwardStatistics = new PercentileStatistics();
private int totalBatches = 0;
private int totalItems = 0;
/**
* Instantiates a new Monitoring synapse.
*/
public MonitoringSynapse() {
super();
}
/**
* Instantiates a new Monitoring synapse.
*
* @param id the id
*/
protected MonitoringSynapse(@Nonnull final JsonObject id) {
super(id);
}
/**
* From json monitoring synapse.
*
* @param json the json
* @param rs the rs
* @return the monitoring synapse
*/
@Nonnull
public static MonitoringSynapse fromJson(@Nonnull final JsonObject json, Map rs) {
@Nonnull final MonitoringSynapse obj = new MonitoringSynapse(json);
obj.totalBatches = json.get("totalBatches").getAsInt();
obj.totalItems = json.get("totalItems").getAsInt();
obj.backpropStatistics.readJson(json.getAsJsonObject("backpropStatistics"));
obj.forwardStatistics.readJson(json.getAsJsonObject("forwardStatistics"));
return obj;
}
/**
* Add to monitoring synapse.
*
* @param obj the obj
* @return the monitoring synapse
*/
@Nonnull
public MonitoringSynapse addTo(@Nonnull final MonitoredObject obj) {
return addTo(obj, getName());
}
/**
* Add to monitoring synapse.
*
* @param obj the obj
* @param name the name
* @return the monitoring synapse
*/
@Nonnull
public MonitoringSynapse addTo(@Nonnull final MonitoredObject obj, final String name) {
setName(name);
obj.addObj(getName(), this);
return this;
}
@Override
public Result eval(@Nonnull final Result... inObj) {
assert 1 == inObj.length;
final Result input = inObj[0];
final TensorList inputdata = input.getData();
input.addRef();
inputdata.addRef();
System.nanoTime();
System.nanoTime();
totalBatches++;
totalItems += inputdata.length();
forwardStatistics.clear();
inputdata.stream().parallel().forEach(t -> {
forwardStatistics.add(t.getData());
t.freeRef();
});
return new Result(inputdata, (@Nonnull final DeltaSet buffer, @Nonnull final TensorList data) -> {
backpropStatistics.clear();
data.addRef();
input.accumulate(buffer, data);
data.stream().parallel().forEach(t -> {
backpropStatistics.add(t.getData());
t.freeRef();
});
data.freeRef();
}) {
@Override
public boolean isAlive() {
return input.isAlive();
}
@Override
protected void _free() {
input.freeRef();
}
};
}
@Nonnull
@Override
public JsonObject getJson(Map resources, DataSerializer dataSerializer) {
@Nonnull final JsonObject json = super.getJsonStub();
json.addProperty("totalBatches", totalBatches);
json.addProperty("totalItems", totalItems);
return json;
}
@Nonnull
@Override
public Map getMetrics() {
@Nonnull final HashMap map = new HashMap<>();
map.put("totalBatches", totalBatches);
map.put("totalItems", totalItems);
map.put("forward", forwardStatistics.getMetrics());
map.put("backprop", backpropStatistics.getMetrics());
return map;
}
@Override
public List state() {
return Arrays.asList();
}
}