io.improbable.keanu.vertices.tensor.number.operators.binary

Class PowerVertex<T extends java.lang.Number,TENSOR extends NumberTensor<T,TENSOR>,VERTEX extends NumberTensorVertex<T,TENSOR,VERTEX>>

java.lang.Object

io.improbable.keanu.vertices.VertexImpl<TENSOR,VERTEX>

io.improbable.keanu.vertices.tensor.BinaryTensorOpVertex<T,TENSOR,VERTEX>

io.improbable.keanu.vertices.tensor.number.operators.binary.PowerVertex<T,TENSOR,VERTEX>

All Implemented Interfaces:

Variable<TENSOR,VertexState<TENSOR>>, BaseTensor<BooleanVertex,T,VERTEX>, NonProbabilistic<TENSOR>, NonProbabilisticVertex<TENSOR,VERTEX>, Observable<TENSOR>, Differentiable, TensorVertex<T,TENSOR,VERTEX>, Vertex<TENSOR,VERTEX>, VertexBinaryOp<TensorVertex<T,TENSOR,VERTEX>,TensorVertex<T,TENSOR,VERTEX>>

public class PowerVertex<T extends java.lang.Number,TENSOR extends NumberTensor<T,TENSOR>,VERTEX extends NumberTensorVertex<T,TENSOR,VERTEX>>
extends BinaryTensorOpVertex<T,TENSOR,VERTEX>
implements NonProbabilisticVertex<TENSOR,VERTEX>, Differentiable

Field Summary

Fields inherited from class io.improbable.keanu.vertices.tensor.BinaryTensorOpVertex

left, LEFT_NAME, right, RIGHT_NAME

Fields inherited from interface io.improbable.keanu.BaseTensor

SCALAR_SHAPE

Constructor Summary

Constructors

Constructor and Description
PowerVertex(TensorVertex<T,TENSOR,VERTEX> base, TensorVertex<T,TENSOR,VERTEX> exponent) Raises a vertex to the power of another

Method Summary

Modifier and Type	Method and Description
ForwardModePartialDerivative	forwardModeAutoDifferentiation(java.util.Map<Vertex,ForwardModePartialDerivative> derivativeOfParentsWithRespectToInput)
TensorVertex<T,TENSOR,VERTEX>	getBase()
TensorVertex<T,TENSOR,VERTEX>	getExponent()
protected TENSOR	op(TENSOR base, TENSOR exponent)
java.util.Map<Vertex,ReverseModePartialDerivative>	reverseModeAutoDifferentiation(ReverseModePartialDerivative derivativeOfOutputWithRespectToSelf)

Methods inherited from class io.improbable.keanu.vertices.tensor.BinaryTensorOpVertex

calculate, getLeft, getRight, ofType, wrap

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

addChild, addParent, addParents, equals, eval, getChildren, getConnectedGraph, getDegree, getId, getIndentation, getLabel, getLength, getObservedValue, getParents, getRank, getReference, getShape, getState, getStride, 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.Vertex

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

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

calculate, contradictsObservation

Methods inherited from interface io.improbable.keanu.vertices.tensor.number.floating.dbl.Differentiable

ofSelfWrtSelf, wrtSelfOfSelf

Methods inherited from interface io.improbable.keanu.vertices.tensor.TensorVertex

broadcast, diag, diagPart, elementwiseEquals, elementwiseEquals, fillTriangular, get, notEqualTo, notEqualTo, permute, reshape, slice, slice, take, trianglePart, triLower, triUpper, where

Methods inherited from interface io.improbable.keanu.BaseTensor

expandDims, getLength, getRank, getShape, getStride, isLengthOne, isMatrix, isScalar, isVector, moveAxis, slice, sliceAlongDimension, squeeze, swapAxis, transpose

Constructor Detail

PowerVertex

public PowerVertex(TensorVertex<T,TENSOR,VERTEX> base,
                   TensorVertex<T,TENSOR,VERTEX> exponent)

Raises a vertex to the power of another

Parameters:

base - the base vertex

exponent - the exponent vertex

Method Detail

getBase

public TensorVertex<T,TENSOR,VERTEX> getBase()

getExponent

public TensorVertex<T,TENSOR,VERTEX> getExponent()

op

protected TENSOR op(TENSOR base,
                    TENSOR exponent)

Specified by:

op in class BinaryTensorOpVertex<T extends java.lang.Number,TENSOR extends NumberTensor<T,TENSOR>,VERTEX extends NumberTensorVertex<T,TENSOR,VERTEX>>

forwardModeAutoDifferentiation

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

Specified by:

forwardModeAutoDifferentiation in interface Differentiable

reverseModeAutoDifferentiation

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

Specified by:

reverseModeAutoDifferentiation in interface Differentiable