org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative Maven / Gradle / Ivy
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* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
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* * information regarding copyright ownership.
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* * SPDX-License-Identifier: Apache-2.0
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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.ndarray.INDArray;
import java.util.List;
@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, int[] axis) {
super(sameDiff, inputFunctions, inputArrays, outputArrays, inPlace, applyGamma, applyBeta, epsilon, axis);
}
public BatchNormDerivative() {}
@Override
public String opName() {
return "batchnorm_bp";
}
@Override
public String tensorflowName() {
throw new NoOpNameFoundException("No tensorflow op name found for " + opName());
}
@Override
public String onnxName() {
throw new NoOpNameFoundException("No onnx op name found for " + opName());
}
@Override
public List doDiff(List f1) {
throw new UnsupportedOperationException("Unable to take derivative of derivative.");
}
}