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/*
 *
 *  * Copyright 2015 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.optimize.stepfunctions;

import org.deeplearning4j.optimize.api.StepFunction;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;

/**
 * Default step function
 * @author Adam Gibson
 */
public class DefaultStepFunction implements StepFunction {
    private static final long serialVersionUID = -4707790524365648985L;

    /**Does x = x + stepSize * line
     * @param step step size.
     */
    @Override
    public void step(INDArray parameters, INDArray searchDirection, double step) {
        Nd4j.getBlasWrapper().level1().axpy(searchDirection.length(), step, searchDirection, parameters);
    }

    @Override
    public void step(INDArray x, INDArray line) {
        throw new UnsupportedOperationException();
    }

    @Override
    public void step() {
        throw new UnsupportedOperationException();
    }
}