All Downloads are FREE. Search and download functionalities are using the official Maven repository.
Please wait. This can take some minutes ...
Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance.
Project price only 1 $
You can buy this project and download/modify it how often you want.
org.nd4j.linalg.api.ops.impl.transforms.TanhDerivative Maven / Gradle / Ivy
/*-
*
* * Copyright 2015 Skymind,Inc.
* *
* * Licensed under the Apache License, Version 2.0 (the "License");
* * you may not use this file except in compliance with the License.
* * You may obtain a copy of the License at
* *
* * http://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.
*
*
*/
package org.nd4j.linalg.api.ops.impl.transforms;
import org.apache.commons.math3.util.FastMath;
import org.nd4j.linalg.api.complex.IComplexNumber;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.BaseTransformOp;
import org.nd4j.linalg.api.ops.Op;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.util.ComplexUtil;
/**
* Tanh derivative
*/
public class TanhDerivative extends BaseTransformOp {
public TanhDerivative() {}
public TanhDerivative(INDArray x, INDArray z) {
super(x, z);
}
public TanhDerivative(INDArray x, INDArray z, long n) {
super(x, z, n);
}
public TanhDerivative(INDArray x, INDArray y, INDArray z, long n) {
super(x, y, z, n);
}
public TanhDerivative(INDArray x) {
super(x);
}
@Override
public int opNum() {
return 23;
}
@Override
public String name() {
return "tanhderivative";
}
@Override
public IComplexNumber op(IComplexNumber origin, double other) {
IComplexNumber tanh = ComplexUtil.tanh(origin);
return Nd4j.createComplexNumber(1, 1).sub(tanh.mul(tanh));
}
@Override
public IComplexNumber op(IComplexNumber origin, float other) {
IComplexNumber tanh = ComplexUtil.tanh(origin);
return Nd4j.createComplexNumber(1, 1).sub(tanh.mul(tanh));
}
@Override
public IComplexNumber op(IComplexNumber origin, IComplexNumber other) {
IComplexNumber tanh = ComplexUtil.tanh(origin);
return Nd4j.createComplexNumber(1, 1).sub(tanh.mul(tanh));
}
@Override
public float op(float origin, float other) {
double tanh = FastMath.tanh(origin);
return (float) (1.0 - tanh * tanh);
}
@Override
public double op(double origin, double other) {
double tanh = FastMath.tanh(origin);
return 1.0 - tanh * tanh;
}
@Override
public double op(double origin) {
double tanh = FastMath.tanh(origin);
return 1.0 - tanh * tanh;
}
@Override
public float op(float origin) {
double tanh = FastMath.tanh(origin);
return (float) (1.0 - tanh * tanh);
}
@Override
public IComplexNumber op(IComplexNumber origin) {
IComplexNumber tanh = ComplexUtil.tanh(origin);
return Nd4j.createComplexNumber(1, 1).sub(tanh.mul(tanh));
}
@Override
public Op opForDimension(int index, int dimension) {
INDArray xAlongDimension = x.vectorAlongDimension(index, dimension);
if (y() != null)
return new TanhDerivative(x.vectorAlongDimension(index, dimension),
y.vectorAlongDimension(index, dimension), z.vectorAlongDimension(index, dimension),
xAlongDimension.length());
else
return new TanhDerivative(x.vectorAlongDimension(index, dimension),
z.vectorAlongDimension(index, dimension), xAlongDimension.length());
}
@Override
public Op opForDimension(int index, int... dimension) {
INDArray xAlongDimension = x.tensorAlongDimension(index, dimension);
if (y() != null)
return new TanhDerivative(x.tensorAlongDimension(index, dimension),
y.tensorAlongDimension(index, dimension), z.tensorAlongDimension(index, dimension),
xAlongDimension.length());
else
return new TanhDerivative(x.tensorAlongDimension(index, dimension),
z.tensorAlongDimension(index, dimension), xAlongDimension.length());
}
}