/*- * * * 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.terminations; import org.deeplearning4j.optimize.api.TerminationCondition; import org.nd4j.linalg.api.ndarray.INDArray; import org.nd4j.linalg.factory.Nd4j; /** * Absolute magnitude of gradient is 0 * @author Adam Gibson */ public class ZeroDirection implements TerminationCondition { @Override public boolean terminate(double cost, double oldCost, Object[] otherParams) { INDArray gradient = (INDArray) otherParams[0]; return Nd4j.getBlasWrapper().level1().asum(gradient) == 0.0; } }