org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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.
*
* 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.linalg.api.ndarray.INDArray;
import java.util.List;
/**
* BatchNormDerivative operation
*/
@Slf4j
public class BatchNormDerivative extends BatchNorm {
@Builder(builderMethodName = "derivativeBuilder")
public BatchNormDerivative(SameDiff sameDiff, SDVariable[] inputFunctions, INDArray[] inputArrays,
INDArray[] outputArrays, boolean inPlace, boolean applyGamma,
boolean applyBeta, double epsilon) {
super(sameDiff, inputFunctions, inputArrays, outputArrays, inPlace, applyGamma, applyBeta, epsilon);
}
public BatchNormDerivative() {}
@Override
public String opName() {
return "batchnorm_bp";
}
@Override
public List doDiff(List f1) {
throw new UnsupportedOperationException("Unable to take derivative of derivative.");
}
}