kmath-core/space.kscience.kmath.nd/RowStrides

RowStrides

class RowStrides(val shape: ShapeND) : Strides(source)

This Strides implementation follows the last dimension first convention For more information: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.strides.html

Parameters

shape

the shape of the tensor.

Constructors

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constructor(shape: ShapeND)

Types

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object Companion

Functions

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open override fun asSequence(): Sequence<IntArray>

Iterate over ND indices in a natural order

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fun <T, S : Group<T>, ScaleOperations<T>> Iterable<T>.averageWith(space: S): T

Returns an average value of elements in the iterable in this Group.

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inline fun <T, R> Iterable<T>.cumulative(initial: R, crossinline operation: (R, T) -> R): Iterable<R>
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@JvmName(name = "cumulativeSumOfDouble")
fun Iterable<Double>.cumulativeSum(): Iterable<Double>
@JvmName(name = "cumulativeSumOfInt")
fun Iterable<Int>.cumulativeSum(): Iterable<Int>
@JvmName(name = "cumulativeSumOfLong")
fun Iterable<Long>.cumulativeSum(): Iterable<Long>

fun <T> Iterable<T>.cumulativeSum(ring: Ring<T>): Iterable<T>

Cumulative sum with custom space

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open operator override fun equals(other: Any?): Boolean
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open override fun hashCode(): Int
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open override fun index(offset: Int): IntArray

Get multidimensional from linear

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open operator override fun iterator(): Iterator<IntArray>
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open override fun offset(index: IntArray): Int

Get linear index from multidimensional index

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fun <T> Iterable<T>.sumWith(group: Group<T>): T

Returns the sum of all elements in the iterable in provided space.

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inline fun <T, R> Iterable<T>.sumWithGroupOf(group: Group<R>, extractor: (T) -> R): R

Sum extracted elements of Iterable with given group

Properties

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open override val linearSize: Int

The size of linear buffer to accommodate all elements of ND-structure corresponding to strides

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open override val shape: ShapeND