org.deeplearning4j.arbiter.layers.AbstractLSTMLayerSpace Maven / Gradle / Ivy

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/*-
 *
 *  * Copyright 2016 Skymind,Inc.
 *  *
 *  *    Licensed 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 org.deeplearning4j.arbiter.layers;

import lombok.AccessLevel;
import lombok.Data;
import lombok.EqualsAndHashCode;
import lombok.NoArgsConstructor;
import org.deeplearning4j.arbiter.adapter.ActivationParameterSpaceAdapter;
import org.deeplearning4j.arbiter.optimize.api.ParameterSpace;
import org.deeplearning4j.arbiter.optimize.parameter.FixedValue;
import org.deeplearning4j.arbiter.util.LeafUtils;
import org.deeplearning4j.nn.conf.layers.AbstractLSTM;
import org.deeplearning4j.nn.conf.layers.GravesLSTM;
import org.nd4j.linalg.activations.Activation;
import org.nd4j.linalg.activations.IActivation;

/**
 * Layer space for LSTM layers
 *
 * @author Alex Black
 */
@Data
@EqualsAndHashCode(callSuper = true)
@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization
public abstract class AbstractLSTMLayerSpace extends FeedForwardLayerSpace {

    protected ParameterSpace forgetGateBiasInit;
    protected ParameterSpace gateActivationFn;

    protected AbstractLSTMLayerSpace(Builder builder) {
        super(builder);
        this.forgetGateBiasInit = builder.forgetGateBiasInit;
        this.gateActivationFn = builder.gateActivationFn;

        this.numParameters = LeafUtils.countUniqueParameters(collectLeaves());
    }

    protected void setLayerOptionsBuilder(AbstractLSTM.Builder builder, double[] values) {
        super.setLayerOptionsBuilder(builder, values);
        if (forgetGateBiasInit != null)
            builder.forgetGateBiasInit(forgetGateBiasInit.getValue(values));
        if(gateActivationFn != null)
            builder.gateActivationFunction(gateActivationFn.getValue(values));
    }

    @Override
    public String toString() {
        return toString(", ");
    }

    @Override
    public String toString(String delim) {
        StringBuilder sb = new StringBuilder(); //"AbstractLSTMLayerSpace(");
        if (forgetGateBiasInit != null)
            sb.append("forgetGateBiasInit: ").append(forgetGateBiasInit).append(delim);
        if (gateActivationFn != null)
            sb.append("gateActivationFn: ").append(gateActivationFn).append(delim);
        sb.append(super.toString(delim));
        return sb.toString();
    }

    public static abstract class Builder extends FeedForwardLayerSpace.Builder {

        private ParameterSpace forgetGateBiasInit;
        private ParameterSpace gateActivationFn;

        public T forgetGateBiasInit(double forgetGateBiasInit) {
            return forgetGateBiasInit(new FixedValue<>(forgetGateBiasInit));
        }

        public T forgetGateBiasInit(ParameterSpace forgetGateBiasInit) {
            this.forgetGateBiasInit = forgetGateBiasInit;
            return (T)this;
        }

        public T gateActivationFn(Activation activation){
            return gateActivationFn(activation.getActivationFunction());
        }

        public T gateActivation(ParameterSpace gateActivationFn){
            return gateActivationFn(new ActivationParameterSpaceAdapter(gateActivationFn));
        }

        public T gateActivationFn(IActivation gateActivationFn){
            return gateActivationFn(new FixedValue<>(gateActivationFn));
        }

        public T gateActivationFn(ParameterSpace gateActivationFn){
            this.gateActivationFn = gateActivationFn;
            return (T)this;
        }
    }
}