com.simiacryptus.mindseye.layers.java.BinaryNoiseLayer.java Source code

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Here is the source code for com.simiacryptus.mindseye.layers.java.BinaryNoiseLayer.java

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/*
 * 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.JsonElement;
import com.google.gson.JsonObject;
import com.simiacryptus.mindseye.lang.*;
import com.simiacryptus.mindseye.layers.StochasticComponent;
import com.simiacryptus.util.FastRandom;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import javax.annotation.Nonnull;
import java.util.*;

/**
 * The type Binary noise key.
 */
@SuppressWarnings("serial")
public class BinaryNoiseLayer extends LayerBase implements StochasticComponent {

    /**
     * The constant randomize.
     */
    public static final ThreadLocal<Random> random = new ThreadLocal<Random>() {
        @Override
        protected Random initialValue() {
            return new Random();
        }
    };
    @SuppressWarnings("unused")
    private static final Logger log = LoggerFactory.getLogger(BinaryNoiseLayer.class);
    /**
     * The Mask list.
     */
    @Nonnull
    List<Tensor> maskList = new ArrayList<>();
    private double value;
    private boolean enabled = true;

    /**
     * Instantiates a new Binary noise key.
     */
    public BinaryNoiseLayer() {
        this(0.5);
    }

    /**
     * Instantiates a new Binary noise key.
     *
     * @param value the value
     */
    public BinaryNoiseLayer(final double value) {
        super();
        setValue(value);
    }

    /**
     * Instantiates a new Binary noise key.
     *
     * @param json the json
     */
    protected BinaryNoiseLayer(@Nonnull final JsonObject json) {
        super(json);
        value = json.get("value").getAsDouble();
        JsonElement enabled = json.get("enabled");
        this.enabled = enabled == null || enabled.getAsBoolean();
    }

    /**
     * From json binary noise key.
     *
     * @param json the json
     * @param rs   the rs
     * @return the binary noise key
     */
    public static BinaryNoiseLayer fromJson(@Nonnull final JsonObject json, Map<CharSequence, byte[]> rs) {
        return new BinaryNoiseLayer(json);
    }

    @Override
    public Result eval(@Nonnull final Result... inObj) {
        Arrays.stream(inObj).forEach(nnResult -> nnResult.addRef());
        final Result input = inObj[0];
        if (!enabled)
            return input;
        @Nonnull
        final int[] dimensions = input.getData().getDimensions();
        if (maskList.size() > 1 && !Arrays.equals(maskList.get(0).getDimensions(), dimensions)) {
            maskList.clear();
        }
        final int length = input.getData().length();
        @Nonnull
        final Tensor tensorPrototype = new Tensor(dimensions);
        while (length > maskList.size()) {
            maskList.add(
                    tensorPrototype.map(v -> FastRandom.INSTANCE.random() < getValue() ? 0 : (1.0 / getValue())));
        }
        @Nonnull
        final TensorList mask = TensorArray.create(maskList.stream().limit(length).toArray(i -> new Tensor[i]));
        return new Result(mask, (@Nonnull final DeltaSet<UUID> buffer, @Nonnull final TensorList data) -> {
            data.addRef();
            input.accumulate(buffer, data);
        }) {

            @Override
            protected void _free() {
                Arrays.stream(inObj).forEach(nnResult -> nnResult.freeRef());
            }

            @Override
            public boolean isAlive() {
                return input.isAlive();
            }
        };
    }

    @Nonnull
    @Override
    public JsonObject getJson(Map<CharSequence, byte[]> resources, DataSerializer dataSerializer) {
        @Nonnull
        final JsonObject json = super.getJsonStub();
        json.addProperty("value", value);
        json.addProperty("enabled", enabled);
        return json;
    }

    /**
     * Gets value.
     *
     * @return the value
     */
    public double getValue() {
        return value;
    }

    /**
     * Sets value.
     *
     * @param value the value
     * @return the value
     */
    @Nonnull
    public BinaryNoiseLayer setValue(final double value) {
        this.value = value;
        shuffle(StochasticComponent.random.get().nextLong());
        return this;
    }

    @Override
    public void shuffle(final long seed) {
        maskList.clear();
    }

    @Override
    public void clearNoise() {
        maskList.clear();
        this.enabled = false;
    }

    @Nonnull
    @Override
    public List<double[]> state() {
        return Arrays.asList();
    }

}