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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 org.deeplearning4j.nn.conf.layers.DenseLayer;

public class DenseLayerSpace extends FeedForwardLayerSpace {

    private DenseLayerSpace(Builder builder){
        super(builder);
    }

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

    protected void setLayerOptionsBuilder(DenseLayer.Builder builder, double[] values){
        super.setLayerOptionsBuilder(builder,values);
    }

    public static class Builder extends FeedForwardLayerSpace.Builder{

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

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

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

}




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