org.nd4j.linalg.activations.impl.ActivationLReLU 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
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* * under the License.
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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.impl.scalar.LeakyReLU;
import org.nd4j.linalg.api.ops.impl.transforms.gradient.LeakyReLUBp;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.common.primitives.Pair;
/**
* Leaky RELU
* f(x) = max(0, x) + alpha * min(0, x)
* alpha defaults to 0.01
*/
@EqualsAndHashCode(callSuper = false)
@Getter
public class ActivationLReLU extends BaseActivationFunction {
public static final double DEFAULT_ALPHA = 0.01;
private double alpha;
public ActivationLReLU() {
this(DEFAULT_ALPHA);
}
public ActivationLReLU(double alpha) {
this.alpha = alpha;
}
@Override
public INDArray getActivation(INDArray in, boolean training) {
Nd4j.getExecutioner().execAndReturn(new LeakyReLU(in, alpha));
return in;
}
@Override
public Pair backprop(INDArray in, INDArray epsilon) {
assertShape(in, epsilon);
Nd4j.getExecutioner().execAndReturn(new LeakyReLUBp(in, epsilon, in, alpha));
return new Pair<>(in, null);
}
@Override
public String toString() {
return "leakyrelu(a=" + alpha + ")";
}
}