org.nd4j.linalg.activations.impl.ActivationPReLU 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.activations.impl;
import lombok.EqualsAndHashCode;
import lombok.Getter;
import org.nd4j.linalg.activations.BaseActivationFunction;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.common.primitives.Pair;
@EqualsAndHashCode(callSuper = false)
@Getter
public class ActivationPReLU extends BaseActivationFunction {
private INDArray alpha;
private long[] sharedAxes = null;
public ActivationPReLU(INDArray alpha, long[] sharedAxes) {
this.alpha = alpha;
this.sharedAxes = sharedAxes;
}
@Override
public INDArray getActivation(INDArray in, boolean training) {
DynamicCustomOp.DynamicCustomOpsBuilder prelu = DynamicCustomOp.builder("prelu")
.addOutputs(in).addInputs(in, alpha);
if (sharedAxes != null) {
for (long axis: sharedAxes) {
prelu.addIntegerArguments(axis);
}
}
Nd4j.getExecutioner().execAndReturn(prelu.build());
return in;
}
@Override
public Pair backprop(INDArray in, INDArray epsilon) {
assertShape(in, epsilon);
INDArray dLdalpha = alpha.ulike();
INDArray outTemp = in.ulike();
DynamicCustomOp.DynamicCustomOpsBuilder preluBp = DynamicCustomOp.builder("prelu_bp")
.addInputs(in, alpha, epsilon)
.addOutputs(outTemp, dLdalpha);
if (sharedAxes != null) {
for (long axis: sharedAxes) {
preluBp.addIntegerArguments(axis);
}
}
Nd4j.exec(preluBp.build());
in.assign(outTemp);
return new Pair<>(in, dLdalpha);
}
@Override
public String toString() {
return "prelu";
}
}