org.nd4j.linalg.api.ops.impl.layers.convolution.LocalResponseNormalizationDerivative Maven / Gradle / Ivy

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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.api.ops.impl.layers.convolution;

import lombok.Builder;
import lombok.extern.slf4j.Slf4j;
import org.nd4j.autodiff.samediff.SDVariable;
import org.nd4j.autodiff.samediff.SameDiff;
import org.nd4j.imports.NoOpNameFoundException;
import org.nd4j.linalg.api.ops.impl.layers.convolution.config.LocalResponseNormalizationConfig;

import java.util.List;


@Slf4j
public class LocalResponseNormalizationDerivative extends LocalResponseNormalization {
    @Builder(builderMethodName = "derivativeBuilder")
    public LocalResponseNormalizationDerivative(SameDiff sameDiff, SDVariable[] inputFunctions, boolean inPlace, LocalResponseNormalizationConfig config) {
        super(sameDiff, inputFunctions, inPlace, config);
    }

    public LocalResponseNormalizationDerivative() {}

    @Override
    public String opName() {
        return "lrn_bp";
    }

    @Override
    public String onnxName(){
        throw new NoOpNameFoundException("No onnx op opName found for " +  opName());
    }

    @Override
    public String tensorflowName(){
        throw new NoOpNameFoundException("No tensorflow op opName found for " +  opName());
    }

    @Override
    public List doDiff(List f1) {
        throw new UnsupportedOperationException("Unable to take derivative of derivative.");
    }

}