Java tutorial
/* * Copyright (c) 2018 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<CharSequence, byte[]> 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<UUID> buffer, @Nonnull final TensorList data) -> { backpropStatistics.clear(); data.addRef(); input.accumulate(buffer, data); data.stream().parallel().forEach(t -> { backpropStatistics.add(t.getData()); t.freeRef(); }); }) { @Override public boolean isAlive() { return input.isAlive(); } @Override protected void _free() { input.freeRef(); } }; } @Nonnull @Override public JsonObject getJson(Map<CharSequence, byte[]> resources, DataSerializer dataSerializer) { @Nonnull final JsonObject json = super.getJsonStub(); json.addProperty("totalBatches", totalBatches); json.addProperty("totalItems", totalItems); return json; } @Nonnull @Override public Map<CharSequence, Object> getMetrics() { @Nonnull final HashMap<CharSequence, Object> 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<double[]> state() { return Arrays.asList(); } }