io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary

Class DoubleUnaryOpLambda<IN>

java.lang.Object

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

io.improbable.keanu.vertices.dbl.DoubleVertex

io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.unary.DoubleUnaryOpLambda<IN>

All Implemented Interfaces:

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

public class DoubleUnaryOpLambda<IN>
extends DoubleVertex
implements Differentiable, NonProbabilistic<DoubleTensor>, NonSaveableVertex

Constructor Summary

Constructors

Constructor and Description
DoubleUnaryOpLambda(long[] shape, Vertex<IN> inputVertex, java.util.function.Function<IN,DoubleTensor> op)
DoubleUnaryOpLambda(long[] shape, Vertex<IN> inputVertex, java.util.function.Function<IN,DoubleTensor> op, java.util.function.Function<java.util.Map<Vertex,PartialDerivative>,PartialDerivative> forwardModeAutoDiffLambda, java.util.function.Function<PartialDerivative,java.util.Map<Vertex,PartialDerivative>> reverseModeAutoDiffLambda)
DoubleUnaryOpLambda(Vertex<IN> inputVertex, java.util.function.Function<IN,DoubleTensor> op)
DoubleUnaryOpLambda(Vertex<IN> inputVertex, java.util.function.Function<IN,DoubleTensor> op, java.util.function.Function<java.util.Map<Vertex,PartialDerivative>,PartialDerivative> forwardModeAutoDiffLambda, java.util.function.Function<PartialDerivative,java.util.Map<Vertex,PartialDerivative>> reverseModeAutoDiffLambda)

Method Summary

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

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, save, 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

Constructor Detail

DoubleUnaryOpLambda

public DoubleUnaryOpLambda(long[] shape,
                           Vertex<IN> inputVertex,
                           java.util.function.Function<IN,DoubleTensor> op,
                           java.util.function.Function<java.util.Map<Vertex,PartialDerivative>,PartialDerivative> forwardModeAutoDiffLambda,
                           java.util.function.Function<PartialDerivative,java.util.Map<Vertex,PartialDerivative>> reverseModeAutoDiffLambda)

DoubleUnaryOpLambda

public DoubleUnaryOpLambda(long[] shape,
                           Vertex<IN> inputVertex,
                           java.util.function.Function<IN,DoubleTensor> op)

DoubleUnaryOpLambda

public DoubleUnaryOpLambda(Vertex<IN> inputVertex,
                           java.util.function.Function<IN,DoubleTensor> op,
                           java.util.function.Function<java.util.Map<Vertex,PartialDerivative>,PartialDerivative> forwardModeAutoDiffLambda,
                           java.util.function.Function<PartialDerivative,java.util.Map<Vertex,PartialDerivative>> reverseModeAutoDiffLambda)

DoubleUnaryOpLambda

public DoubleUnaryOpLambda(Vertex<IN> inputVertex,
                           java.util.function.Function<IN,DoubleTensor> op)

Method Detail

calculate

public DoubleTensor calculate()

Specified by:

calculate in interface NonProbabilistic<DoubleTensor>

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