Nd4jTensorAlgebra

interface Nd4jTensorAlgebra<T : Number> : AnalyticTensorAlgebra<T>

ND4J based TensorAlgebra implementation.

Functions

acos

open override fun Tensor<T>.acos(): Tensor<T>

acosh

open override fun Tensor<T>.acosh(): Tensor<T>

argMax

open override fun Tensor<T>.argMax(dim: Int, keepDim: Boolean): Tensor<T>

asin

open override fun Tensor<T>.asin(): Tensor<T>

asinh

open override fun Tensor<T>.asinh(): Tensor<T>

atan

open override fun Tensor<T>.atan(): Tensor<T>

atanh

open override fun Tensor<T>.atanh(): Tensor<T>

binaryOperation

open fun binaryOperation(operation: String, left: Tensor<T>, right: Tensor<T>): Tensor<T>

binaryOperationFunction

open fun binaryOperationFunction(operation: String): (Tensor<T>, Tensor<T>) -> Tensor<T>

bindSymbol

open fun bindSymbol(value: String): Tensor<T>

bindSymbolOrNull

open fun bindSymbolOrNull(value: String): Tensor<T>?

ceil

open override fun Tensor<T>.ceil(): Tensor<T>

cos

open override fun Tensor<T>.cos(): Tensor<T>

cosh

open override fun Tensor<T>.cosh(): Tensor<T>

diagonalEmbedding

abstract fun diagonalEmbedding(diagonalEntries: Tensor<T>, offset: Int, dim1: Int, dim2: Int): Tensor<T>

div

open operator override fun T.div(other: Tensor<T>): Tensor<T>

open operator override fun Tensor<T>.div(value: T): Tensor<T>

open operator override fun Tensor<T>.div(other: Tensor<T>): Tensor<T>

divAssign

open operator override fun Tensor<T>.divAssign(value: T)

open operator override fun Tensor<T>.divAssign(other: Tensor<T>)

dot

open infix override fun Tensor<T>.dot(other: Tensor<T>): Tensor<T>

exp

open override fun Tensor<T>.exp(): Tensor<T>

floor

open override fun Tensor<T>.floor(): Tensor<T>

get

open operator override fun Tensor<T>.get(i: Int): Tensor<T>

ln

open override fun Tensor<T>.ln(): Tensor<T>

max

abstract fun Tensor<T>.max(): T

open override fun Tensor<T>.max(dim: Int, keepDim: Boolean): Tensor<T>

mean

abstract fun Tensor<T>.mean(): T

open override fun Tensor<T>.mean(dim: Int, keepDim: Boolean): Tensor<T>

min

abstract fun Tensor<T>.min(): T

open override fun Tensor<T>.min(dim: Int, keepDim: Boolean): Tensor<T>

minus

open operator override fun T.minus(other: Tensor<T>): Tensor<T>

open operator override fun Tensor<T>.minus(value: T): Tensor<T>

open operator override fun Tensor<T>.minus(other: Tensor<T>): Tensor<T>

minusAssign

open operator override fun Tensor<T>.minusAssign(value: T)

open operator override fun Tensor<T>.minusAssign(other: Tensor<T>)

plus

open operator override fun T.plus(other: Tensor<T>): Tensor<T>

open operator override fun Tensor<T>.plus(value: T): Tensor<T>

open operator override fun Tensor<T>.plus(other: Tensor<T>): Tensor<T>

plusAssign

open operator override fun Tensor<T>.plusAssign(value: T)

open operator override fun Tensor<T>.plusAssign(other: Tensor<T>)

sin

open override fun Tensor<T>.sin(): Tensor<T>

sinh

open override fun Tensor<T>.sinh(): Tensor<T>

sqrt

open override fun Tensor<T>.sqrt(): Tensor<T>

std

abstract fun Tensor<T>.std(): T

open override fun Tensor<T>.std(dim: Int, keepDim: Boolean): Tensor<T>

sum

abstract fun Tensor<T>.sum(): T

open override fun Tensor<T>.sum(dim: Int, keepDim: Boolean): Tensor<T>

tan

open override fun Tensor<T>.tan(): Tensor<T>

tanh

open override fun Tensor<T>.tanh(): Tensor<T>

times

open operator override fun T.times(other: Tensor<T>): Tensor<T>

open operator override fun Tensor<T>.times(value: T): Tensor<T>

open operator override fun Tensor<T>.times(other: Tensor<T>): Tensor<T>

timesAssign

open operator override fun Tensor<T>.timesAssign(value: T)

open operator override fun Tensor<T>.timesAssign(other: Tensor<T>)

transpose

open override fun Tensor<T>.transpose(i: Int, j: Int): Tensor<T>

unaryMinus

open operator override fun Tensor<T>.unaryMinus(): Tensor<T>

unaryOperation

open fun unaryOperation(operation: String, arg: Tensor<T>): Tensor<T>

unaryOperationFunction

open fun unaryOperationFunction(operation: String): (Tensor<T>) -> Tensor<T>

value

open fun Tensor<T>.value(): T

valueOrNull

abstract fun Tensor<T>.valueOrNull(): T?

variance

abstract fun Tensor<T>.variance(): T

open override fun Tensor<T>.variance(dim: Int, keepDim: Boolean): Tensor<T>

view

open override fun Tensor<T>.view(shape: IntArray): Tensor<T>

viewAs

open override fun Tensor<T>.viewAs(other: Tensor<T>): Tensor<T>

wrap

abstract fun INDArray.wrap(): Nd4jArrayStructure<T>

Wraps INDArray to Nd4jArrayStructure.

Properties

ndArray

abstract val StructureND<T>.ndArray: INDArray

Unwraps to or gets INDArray from StructureND.

Inheritors

DoubleNd4jTensorAlgebra

Sources

jvm source