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/*******************************************************************************
 * 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.adapter.ActivationParameterSpaceAdapter;
import org.deeplearning4j.arbiter.adapter.LossFunctionParameterSpaceAdapter;
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.LossLayer;
import org.nd4j.linalg.activations.Activation;
import org.nd4j.linalg.activations.IActivation;
import org.nd4j.linalg.lossfunctions.ILossFunction;
import org.nd4j.linalg.lossfunctions.LossFunctions;

@Data
@EqualsAndHashCode(callSuper = true)
@NoArgsConstructor(access = AccessLevel.PROTECTED) //For Jackson JSON/YAML deserialization
public class LossLayerSpace extends LayerSpace {

    private ParameterSpace activationFunction;
    protected ParameterSpace lossFunction;

    public LossLayerSpace(Builder builder){
        super(builder);
        this.activationFunction = builder.activationFunction;
        this.lossFunction = builder.lossFunction;

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

    @Override
    public LossLayer getValue(double[] parameterValues) {
        LossLayer.Builder b = new LossLayer.Builder();
        if(activationFunction != null)
            b.activation(activationFunction.getValue(parameterValues));
        if(lossFunction != null)
            b.lossFunction(lossFunction.getValue(parameterValues));
        return b.build();
    }


    public static class Builder extends LayerSpace.Builder{
        
        private ParameterSpace activationFunction;
        protected ParameterSpace lossFunction;

        public Builder lossFunction(LossFunctions.LossFunction lossFunction) {
            return lossFunction(new FixedValue<>(lossFunction));
        }

        public Builder lossFunction(ParameterSpace lossFunction) {
            return iLossFunction(new LossFunctionParameterSpaceAdapter(lossFunction));
        }

        public Builder iLossFunction(ILossFunction lossFunction) {
            return iLossFunction(new FixedValue<>(lossFunction));
        }

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

        public Builder activation(Activation activation) {
            return activation(new FixedValue<>(activation));
        }

        public Builder activation(IActivation iActivation) {
            return activationFn(new FixedValue<>(iActivation));
        }

        public Builder activation(ParameterSpace activationFunction) {
            return activationFn(new ActivationParameterSpaceAdapter(activationFunction));
        }

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

        @Override
        public LossLayerSpace build() {
            return new LossLayerSpace(this);
        }
    }
}