org.nd4j.linalg.api.ops.impl.transforms.gradient.SELUDerivative Maven / Gradle / Ivy
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* 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.
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* 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
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* SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.ops.impl.transforms.gradient;
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 org.nd4j.linalg.api.ops.BaseTransformOp;
import java.util.Arrays;
import java.util.List;
/**
* SELU Derivative elementwise function
*
* https://arxiv.org/pdf/1706.02515.pdf
*
* @author [email protected]
*/
public class SELUDerivative extends BaseTransformOp {
private static final double SELU_ALPHA = 1.6732632423543772848170429916717;
private static final double SELU_LAMBDA = 1.0507009873554804934193349852946;
public SELUDerivative(SameDiff sameDiff, SDVariable i_v, boolean inPlace) {
super(sameDiff, i_v, inPlace);
}
public SELUDerivative(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, Object[] extraArgs) {
super(sameDiff, i_v, shape, inPlace, extraArgs);
}
public SELUDerivative(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs) {
super(sameDiff, i_v, extraArgs);
}
public SELUDerivative() {}
public SELUDerivative(INDArray x, INDArray z) {
super(x, z);
}
public SELUDerivative(INDArray x, INDArray z, long n) {
super(x, z, n);
}
public SELUDerivative(INDArray x) {
super(x);
}
@Override
public int opNum() {
return 68;
}
@Override
public String opName() {
return "seluderivative";
}
@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 i_v) {
SDVariable ret = f().div(arg(),f().seluDerivative(arg()));
return Arrays.asList(ret);
}
}