All Downloads are FREE. Search and download functionalities are using the official Maven repository.

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

There is a newer version: 1.0.0-beta7
Show newest version
/*******************************************************************************
 * Copyright (c) 2015-2018 Skymind, Inc.
 *
 * This program and the accompanying materials are made available under the
 * terms of the Apache License, Version 2.0 which is available at
 * https://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.
 *
 * SPDX-License-Identifier: Apache-2.0
 ******************************************************************************/

package org.deeplearning4j.arbiter.layers;

import lombok.AccessLevel;
import lombok.Data;
import lombok.EqualsAndHashCode;
import lombok.NoArgsConstructor;
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.EmbeddingLayer;

/**
 * Layer hyperparameter configuration space for {@link org.deeplearning4j.nn.conf.layers.EmbeddingLayer}
 *
 * @author Alex Black
 */
@Data
@EqualsAndHashCode(callSuper = true)
@NoArgsConstructor(access = AccessLevel.PRIVATE) //For Jackson JSON/YAML deserialization
public class EmbeddingLayerSpace extends FeedForwardLayerSpace {
    private ParameterSpace hasBias;

    private EmbeddingLayerSpace(Builder builder) {
        super(builder);
        this.hasBias = builder.hasBias;

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

    @Override
    public EmbeddingLayer getValue(double[] values) {
        //Using the builder here, to get default options
        EmbeddingLayer.Builder b = new EmbeddingLayer.Builder();
        setLayerOptionsBuilder(b, values);
        return b.build();
    }

    protected void setLayerOptionsBuilder(EmbeddingLayer.Builder builder, double[] values) {
        super.setLayerOptionsBuilder(builder, values);
        if(hasBias != null)
            builder.hasBias(hasBias.getValue(values));
    }

    public static class Builder extends FeedForwardLayerSpace.Builder {
        protected ParameterSpace hasBias;

        public Builder hasBias(boolean hasBias){
            return hasBias(new FixedValue<>(hasBias));
        }

        public Builder hasBias(ParameterSpace hasBias){
            this.hasBias = hasBias;
            return this;
        }

        @Override
        @SuppressWarnings("unchecked")
        public EmbeddingLayerSpace build() {
            return new EmbeddingLayerSpace(this);
        }
    }

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

    @Override
    public String toString(String delim) {
        return "EmbeddingLayerSpace(" + super.toString(delim) + ")";
    }
}




© 2015 - 2024 Weber Informatics LLC | Privacy Policy