io.improbable.keanu.vertices.dbl.nonprobabilistic

Class ConstantDoubleVertex

java.lang.Object

io.improbable.keanu.vertices.Vertex<DoubleTensor>

io.improbable.keanu.vertices.dbl.DoubleVertex

io.improbable.keanu.vertices.dbl.nonprobabilistic.ConstantDoubleVertex

All Implemented Interfaces:

Variable<DoubleTensor,VertexState<DoubleTensor>>, io.improbable.keanu.kotlin.DoubleOperators<DoubleVertex>, io.improbable.keanu.kotlin.NumberOperators<DoubleVertex>, ConstantVertex, Differentiable, NonProbabilistic<DoubleTensor>, Observable<DoubleTensor>

public class ConstantDoubleVertex
extends DoubleVertex
implements Differentiable, NonProbabilistic<DoubleTensor>, ConstantVertex

Constructor Summary

Constructors

Constructor and Description
ConstantDoubleVertex(double... vector)
ConstantDoubleVertex(double constant)
ConstantDoubleVertex(double[] data, long[] shape)
ConstantDoubleVertex(DoubleTensor constant)

Method Summary

Modifier and Type	Method and Description
DoubleTensor	calculate()
PartialDerivative	forwardModeAutoDifferentiation(java.util.Map<Vertex,PartialDerivative> derivativeOfParentsWithRespectToInput)
DoubleTensor	getConstantValue()
java.util.Map<Vertex,PartialDerivative>	reverseModeAutoDifferentiation(PartialDerivative derivativeOfOutputWithRespectToSelf)
void	save(NetworkSaver netSaver)

Methods inherited from class io.improbable.keanu.vertices.dbl.DoubleVertex

abs, acos, asin, atan, atan2, ceil, concat, cos, div, div, divideBy, divideBy, equalTo, exp, floor, getValue, greaterThan, greaterThanOrEqualTo, lambda, lambda, lessThan, lessThanOrEqualTo, loadValue, log, logGamma, matrixDeterminant, matrixInverse, matrixMultiply, max, min, minus, minus, multiply, multiply, notEqualTo, observe, observe, permute, plus, plus, pow, pow, reshape, reverseDiv, reverseMinus, round, saveValue, setAndCascade, setAndCascade, setValue, setValue, setWithMask, setWithMask, sigmoid, sin, slice, sum, sum, take, tan, times, times, toGreaterThanMask, toGreaterThanMask, toGreaterThanOrEqualToMask, toGreaterThanOrEqualToMask, toInteger, toLessThanMask, toLessThanMask, toLessThanOrEqualToMask, toLessThanOrEqualToMask, transpose, unaryMinus

Methods inherited from class io.improbable.keanu.vertices.Vertex

addChild, addParent, addParents, equals, eval, getChildren, getConnectedGraph, getDegree, getId, getIndentation, getLabel, getObservedValue, getParents, getRank, getReference, getShape, getState, getValue, hashCode, hasValue, isDifferentiable, isObserved, isProbabilistic, lazyEval, observe, observeOwnValue, print, print, removeLabel, setAndCascade, setLabel, setLabel, setParents, setParents, setState, setValue, toString, unobserve

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface io.improbable.keanu.vertices.dbl.Differentiable

withRespectToSelf

Methods inherited from interface io.improbable.keanu.vertices.NonProbabilistic

contradictsObservation

Methods inherited from interface io.improbable.keanu.vertices.Observable

getObservedValue, isObserved, observe, unobserve

Methods inherited from interface io.improbable.keanu.vertices.ConstantVertex

of, of, of, of, of, of, of, of, of, of, of, of, of, of, of, of, of

Constructor Detail

ConstantDoubleVertex

public ConstantDoubleVertex(DoubleTensor constant)

ConstantDoubleVertex

public ConstantDoubleVertex(double constant)

ConstantDoubleVertex

public ConstantDoubleVertex(double... vector)

ConstantDoubleVertex

public ConstantDoubleVertex(double[] data,
                            long[] shape)

Method Detail

forwardModeAutoDifferentiation

public PartialDerivative forwardModeAutoDifferentiation(java.util.Map<Vertex,PartialDerivative> derivativeOfParentsWithRespectToInput)

Specified by:

forwardModeAutoDifferentiation in interface Differentiable

reverseModeAutoDifferentiation

public java.util.Map<Vertex,PartialDerivative> reverseModeAutoDifferentiation(PartialDerivative derivativeOfOutputWithRespectToSelf)

Specified by:

reverseModeAutoDifferentiation in interface Differentiable

calculate

public DoubleTensor calculate()

Specified by:

calculate in interface NonProbabilistic<DoubleTensor>

save

public void save(NetworkSaver netSaver)

Overrides:

save in class Vertex<DoubleTensor>

getConstantValue

public DoubleTensor getConstantValue()