Package space.kscience.kmath.tensors.core

Types

BroadcastDoubleTensorAlgebra

object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra

Basic linear algebra operations implemented with broadcasting.

BufferedTensor

open class BufferedTensor<T> : MutableStructureND<T>

Represents Tensor over a MutableBuffer intended to be used through DoubleTensor and IntTensor

DoubleTensor

class DoubleTensor : BufferedTensor<Double>

Default BufferedTensor implementation for Double values

DoubleTensorAlgebra

open class DoubleTensorAlgebra : TensorPartialDivisionAlgebra<Double> , AnalyticTensorAlgebra<Double> , LinearOpsTensorAlgebra<Double>

Implementation of basic operations over double tensors and basic algebra operations on them.

IntTensor

class IntTensor : BufferedTensor<Int>

Default BufferedTensor implementation for Int values

Functions

one

@JvmName(name = varArgOne)

fun DoubleTensorAlgebra.one(vararg shape: Int): DoubleTensor

fun DoubleTensorAlgebra.one(shape: Shape): DoubleTensor

toDoubleArray

fun DoubleTensor.toDoubleArray(): DoubleArray

Returns DoubleArray of tensor elements

toDoubleTensor

fun Tensor<Double>.toDoubleTensor(): DoubleTensor

Casts Tensor of Double to DoubleTensor

toIntArray

fun IntTensor.toIntArray(): IntArray

Returns IntArray of tensor elements

toIntTensor

fun Tensor<Int>.toIntTensor(): IntTensor

Casts Tensor of Int to IntTensor

withBroadcast

@UnstableKMathAPI()

fun <R> DoubleTensorAlgebra.withBroadcast(block: BroadcastDoubleTensorAlgebra.() -> R): R

Compute a value using broadcast double tensor algebra

zero

@JvmName(name = varArgZero)

fun DoubleTensorAlgebra.zero(vararg shape: Int): DoubleTensor

fun DoubleTensorAlgebra.zero(shape: Shape): DoubleTensor

Properties

tensorAlgebra

val Double.Companion.tensorAlgebra: DoubleTensorAlgebra.Companion