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

Class DoubleBinaryOpLambda<A,B>

java.lang.Object

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

io.improbable.keanu.vertices.dbl.DoubleVertex

io.improbable.keanu.vertices.dbl.nonprobabilistic.operators.binary.DoubleBinaryOpLambda<A,B>

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 DoubleBinaryOpLambda<A,B>
extends DoubleVertex
implements Differentiable, NonProbabilistic<DoubleTensor>, NonSaveableVertex

Field Summary

Fields

Modifier and Type	Field and Description
protected java.util.function.Function<java.util.Map<Vertex,PartialDerivative>,PartialDerivative>	forwardModeAutoDiffLambda
protected Vertex<A>	left
protected java.util.function.BiFunction<A,B,DoubleTensor>	op
protected java.util.function.Function<PartialDerivative,java.util.Map<Vertex,PartialDerivative>>	reverseModeAutoDiffLambda
protected Vertex<B>	right

Constructor Summary

Constructors

Constructor and Description
DoubleBinaryOpLambda(long[] shape, Vertex<A> left, Vertex<B> right, java.util.function.BiFunction<A,B,DoubleTensor> op)
DoubleBinaryOpLambda(long[] shape, Vertex<A> left, Vertex<B> right, java.util.function.BiFunction<A,B,DoubleTensor> op, java.util.function.Function<java.util.Map<Vertex,PartialDerivative>,PartialDerivative> forwardModeAutoDiffLambda, java.util.function.Function<PartialDerivative,java.util.Map<Vertex,PartialDerivative>> reverseModeAutoDiffLambda)
DoubleBinaryOpLambda(Vertex<A> left, Vertex<B> right, java.util.function.BiFunction<A,B,DoubleTensor> op)
DoubleBinaryOpLambda(Vertex<A> left, Vertex<B> right, java.util.function.BiFunction<A,B,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

Field Detail

left

protected final Vertex<A> left

right

protected final Vertex<B> right

op

protected final java.util.function.BiFunction<A,B,DoubleTensor> op

forwardModeAutoDiffLambda

protected final java.util.function.Function<java.util.Map<Vertex,PartialDerivative>,PartialDerivative> forwardModeAutoDiffLambda

reverseModeAutoDiffLambda

protected final java.util.function.Function<PartialDerivative,java.util.Map<Vertex,PartialDerivative>> reverseModeAutoDiffLambda

Constructor Detail

DoubleBinaryOpLambda

public DoubleBinaryOpLambda(long[] shape,
                            Vertex<A> left,
                            Vertex<B> right,
                            java.util.function.BiFunction<A,B,DoubleTensor> op,
                            java.util.function.Function<java.util.Map<Vertex,PartialDerivative>,PartialDerivative> forwardModeAutoDiffLambda,
                            java.util.function.Function<PartialDerivative,java.util.Map<Vertex,PartialDerivative>> reverseModeAutoDiffLambda)

DoubleBinaryOpLambda

public DoubleBinaryOpLambda(long[] shape,
                            Vertex<A> left,
                            Vertex<B> right,
                            java.util.function.BiFunction<A,B,DoubleTensor> op)

DoubleBinaryOpLambda

public DoubleBinaryOpLambda(Vertex<A> left,
                            Vertex<B> right,
                            java.util.function.BiFunction<A,B,DoubleTensor> op,
                            java.util.function.Function<java.util.Map<Vertex,PartialDerivative>,PartialDerivative> forwardModeAutoDiffLambda,
                            java.util.function.Function<PartialDerivative,java.util.Map<Vertex,PartialDerivative>> reverseModeAutoDiffLambda)

DoubleBinaryOpLambda

public DoubleBinaryOpLambda(Vertex<A> left,
                            Vertex<B> right,
                            java.util.function.BiFunction<A,B,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