cavis/cavis-dnn/cavis-dnn-nn/src/main/java/org/deeplearning4j/nn/updater/UpdaterCreator.java

/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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.deeplearning4j.nn.updater;

import org.deeplearning4j.nn.api.Layer;
import net.brutex.ai.dnn.api.IModel;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater;

/**
 *
 * Create an {@link org.deeplearning4j.nn.api.Updater} based on the provided {@link IModel}.
 */
public class UpdaterCreator {

    private UpdaterCreator() {}

    /**
     * Create an Updater for a given model type. This is either {@link ComputationGraphUpdater} or
     * {@link MultiLayerUpdater} or a {@link LayerUpdater}.
     * @param layer
     * @return
     */
    public static org.deeplearning4j.nn.api.Updater getUpdater(IModel layer) {
        if (layer instanceof MultiLayerNetwork) {
            return new MultiLayerUpdater((MultiLayerNetwork) layer);
        } else if (layer instanceof ComputationGraph) {
            return new ComputationGraphUpdater((ComputationGraph) layer);
        } else {
            return new LayerUpdater((Layer) layer);
        }
    }

}