io.improbable.keanu.tensor.dbl

Interface DoubleTensor

All Superinterfaces:

io.improbable.keanu.kotlin.DoubleOperators<DoubleTensor>, FloatingPointTensor<java.lang.Double,DoubleTensor>, io.improbable.keanu.kotlin.NumberOperators<DoubleTensor>, NumberTensor<java.lang.Double,DoubleTensor>, Tensor<java.lang.Double,DoubleTensor>

All Known Implementing Classes:

JVMDoubleTensor, Nd4jDoubleTensor

public interface DoubleTensor
extends FloatingPointTensor<java.lang.Double,DoubleTensor>

Nested Class Summary

Nested classes/interfaces inherited from interface io.improbable.keanu.tensor.Tensor

Tensor.FlattenedView<N>

Field Summary

Fields inherited from interface io.improbable.keanu.tensor.Tensor

ONE_BY_ONE_SHAPE, SCALAR_SHAPE, SCALAR_STRIDE

Method Summary

Modifier and Type	Method and Description
static DoubleTensor	arange(double end)
static DoubleTensor	arange(double start, double end)
static DoubleTensor	arange(double start, double end, double stepSize)
static DoubleTensor	concat(DoubleTensor... toConcat)
static DoubleTensor	concat(int dimension, DoubleTensor... toConcat)
static DoubleTensor	create(double... values)
static DoubleTensor	create(double[] values, long... shape)
static DoubleTensor	create(double value, long[] shape)
default DoubleTensor	div(double value)
static DoubleTensor	eye(long n)
static DoubleTensor	linspace(double start, double end, int numberOfPoints)
static DoubleTensor	max(DoubleTensor a, DoubleTensor b)
static DoubleTensor	min(DoubleTensor a, DoubleTensor b)
default DoubleTensor	minus(double value)
static DoubleTensor	ones(long... shape)
default DoubleTensor	plus(double value)
default DoubleTensor	pow(double exponent)
default DoubleTensor	reverseDiv(double value)
default DoubleTensor	reverseMinus(double value)
static DoubleTensor	scalar(double scalarValue)
static DoubleTensor	stack(int dimension, DoubleTensor... toStack)
default DoubleTensor	times(double value)
static DoubleTensor	vector(double... values)
static DoubleTensor	zeros(long... shape)

Methods inherited from interface io.improbable.keanu.tensor.FloatingPointTensor

acos, acosh, acoshInPlace, acosInPlace, asin, asinh, asinhInPlace, asinInPlace, atan, atan2, atan2, atan2InPlace, atan2InPlace, atanh, atanhInPlace, atanInPlace, ceil, ceilInPlace, choleskyDecomposition, cos, cosh, coshInPlace, cosInPlace, determinant, digamma, digammaInPlace, exp, exp2, exp2InPlace, expInPlace, expM1, expM1InPlace, floor, floorInPlace, isFinite, isInfinite, isNaN, isNegativeInfinity, isPositiveInfinity, log, log10, log10InPlace, log1p, log1pInPlace, log2, log2InPlace, logAddExp, logAddExp2, logAddExp2InPlace, logAddExpInPlace, logGamma, logGammaInPlace, logInPlace, matrixInverse, nanArgMax, nanArgMax, nanArgMin, nanArgMin, notNaN, reciprocal, reciprocalInPlace, replaceNaN, replaceNaNInPlace, round, roundInPlace, sigmoid, sigmoidInPlace, sin, sinh, sinhInPlace, sinInPlace, sqrt, sqrtInPlace, standardize, standardizeInPlace, tan, tanh, tanhInPlace, tanInPlace

Methods inherited from interface io.improbable.keanu.tensor.NumberTensor

abs, absInPlace, apply, applyInPlace, argMax, argMax, argMin, argMin, asFlatDoubleArray, asFlatIntegerArray, average, clamp, clampInPlace, cumProd, cumProdInPlace, cumSum, cumSumInPlace, div, div, divInPlace, divInPlace, equalsWithinEpsilon, greaterThan, greaterThan, greaterThanMask, greaterThanOrEqual, greaterThanOrEqual, greaterThanOrEqualToMask, lessThan, lessThan, lessThanMask, lessThanOrEqual, lessThanOrEqual, lessThanOrEqualToMask, matrixMultiply, max, max, maxInPlace, min, min, minInPlace, minus, minus, minusInPlace, minusInPlace, plus, plus, plusInPlace, plusInPlace, pow, pow, powInPlace, powInPlace, product, product, reverseDiv, reverseDiv, reverseDivInPlace, reverseDivInPlace, reverseMinus, reverseMinus, reverseMinusInPlace, reverseMinusInPlace, safeLogTimes, safeLogTimesInPlace, setAllInPlace, setWithMask, setWithMaskInPlace, standardDeviation, sum, sum, tensorMultiply, times, times, timesInPlace, timesInPlace, toDouble, toInteger, unaryMinus, unaryMinusInPlace

Methods inherited from interface io.improbable.keanu.tensor.Tensor

asFlatArray, asFlatList, broadcast, create, createFilled, diag, duplicate, elementwiseEquals, elementwiseEquals, elementwiseEquals, expandDims, get, getFlattenedView, getLength, getRank, getShape, getStride, getValue, hasSameShapeAs, hasSameShapeAs, isLengthOne, isMatrix, isScalar, isVector, moveAxis, permute, reshape, scalar, setValue, slice, slice, slice, sliceAlongDimension, split, squeeze, swapAxis, take, transpose

Method Detail

create

static DoubleTensor create(double value,
                           long[] shape)

create

static DoubleTensor create(double[] values,
                           long... shape)

create

static DoubleTensor create(double... values)

ones

static DoubleTensor ones(long... shape)

eye

static DoubleTensor eye(long n)

zeros

static DoubleTensor zeros(long... shape)

linspace

static DoubleTensor linspace(double start,
                             double end,
                             int numberOfPoints)

arange

static DoubleTensor arange(double start,
                           double end)

Parameters:

start - start of range

end - end of range (exclusive)

Returns:

a vector of numbers from start incrementing by one to end (exclusively)

arange

static DoubleTensor arange(double end)

arange

static DoubleTensor arange(double start,
                           double end,
                           double stepSize)

Parameters:

start - start of range

end - end of range (exclusive)

stepSize - size of step from start to end

Returns:

a vector of numbers starting at start and stepping to end (exclusively)

scalar

static DoubleTensor scalar(double scalarValue)

Specified by:

scalar in interface Tensor<java.lang.Double,DoubleTensor>

vector

static DoubleTensor vector(double... values)

stack

static DoubleTensor stack(int dimension,
                          DoubleTensor... toStack)

Parameters:

dimension - the dimension along which toStack are stacked

toStack - an array of DoubleTensor's of the same shape

Returns:

a DoubleTensor with toStack joined along a new dimension

e.g. A, B, C = DoubleTensor.ones(4, 2)

DoubleTensor.stack(0, A, B, C) gives DoubleTensor.ones(3, 4, 2)

DoubleTensor.stack(1, A, B, C) gives DoubleTensor.ones(4, 3, 2)

DoubleTensor.stack(2, A, B, C) gives DoubleTensor.ones(4, 2, 3)

DoubleTensor.stack(-1, A, B, C) gives DoubleTensor.ones(4, 2, 3)

concat

static DoubleTensor concat(DoubleTensor... toConcat)

concat

static DoubleTensor concat(int dimension,
                           DoubleTensor... toConcat)

Parameters:

dimension - the dimension along which the tensors will be joined

toConcat - an array of DoubleTensor

Returns:

a DoubleTensor with toConcat joined along an existing dimension

e.g. A, B, C = DoubleTensor.ones(4, 2)

DoubleTensor.concat(0, A, B, C) gives DoubleTensor.ones(12, 2)

min

static DoubleTensor min(DoubleTensor a,
                        DoubleTensor b)

max

static DoubleTensor max(DoubleTensor a,
                        DoubleTensor b)

plus

default DoubleTensor plus(double value)

Specified by:

plus in interface io.improbable.keanu.kotlin.DoubleOperators<DoubleTensor>

minus

default DoubleTensor minus(double value)

Specified by:

minus in interface io.improbable.keanu.kotlin.DoubleOperators<DoubleTensor>

reverseMinus

default DoubleTensor reverseMinus(double value)

Specified by:

reverseMinus in interface io.improbable.keanu.kotlin.DoubleOperators<DoubleTensor>

times

default DoubleTensor times(double value)

Specified by:

times in interface io.improbable.keanu.kotlin.DoubleOperators<DoubleTensor>

div

default DoubleTensor div(double value)

Specified by:

div in interface io.improbable.keanu.kotlin.DoubleOperators<DoubleTensor>

reverseDiv

default DoubleTensor reverseDiv(double value)

Specified by:

reverseDiv in interface io.improbable.keanu.kotlin.DoubleOperators<DoubleTensor>

pow

default DoubleTensor pow(double exponent)

Specified by:

pow in interface io.improbable.keanu.kotlin.DoubleOperators<DoubleTensor>