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/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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.
 *  *
 *  *  See the NOTICE file distributed with this work for additional
 *  *  information regarding copyright ownership.
 *  * 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.nd4j.linalg.learning;

import lombok.Data;
import org.nd4j.common.base.Preconditions;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.learning.config.Sgd;

import java.util.Collections;
import java.util.Map;

/**
 * SGD updater applies a learning rate only
 * @author Adam Gibson
 */
@Data
public class SgdUpdater implements GradientUpdater {

    private final Sgd config;

    public SgdUpdater(Sgd config) {
        this.config = config;
    }

    @Override
    public void setState(Map stateMap, boolean initialize) {
        Preconditions.checkState(stateMap == null || stateMap.isEmpty(), "SGD updater does not have any updater state," +
                " attempting to set with %s values", (stateMap == null ? 0 : stateMap.size()));
    }

    @Override
    public Map getState() {
        return Collections.emptyMap();
    }

    @Override
    public void setStateViewArray(INDArray viewArray, long[] gradientShape, char gradientOrder, boolean initialize) {
        //No op
    }

    @Override
    public void applyUpdater(INDArray gradient, int iteration, int epoch) {
        double lr = config.getLearningRate(iteration, epoch);
        Nd4j.exec(new org.nd4j.linalg.api.ops.impl.updaters.SgdUpdater(gradient, lr));
    }
}




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