/*- * * * 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(); } }