kmath/kmath-nd4j
2021-05-21 00:51:29 +07:00
..
docs Improve Dokka configuration 2021-03-22 20:41:18 +07:00
src Nd4j based TensorAlgebra implementation, drop Nd4jArrayLongStructure 2021-05-20 21:42:36 +07:00
build.gradle.kts Rename DifferentiableMstExpression, fix #349 2021-05-21 00:51:29 +07:00
README.md Add out variance to StructureND and some related types, make some unrelated changes 2021-05-20 19:57:55 +07:00

Module kmath-nd4j

ND4J based implementations of KMath abstractions.

Artifact:

The Maven coordinates of this project are space.kscience:kmath-nd4j:0.3.0-dev-11.

Gradle:

repositories {
    maven { url 'https://repo.kotlin.link' }
    mavenCentral()
}

dependencies {
    implementation 'space.kscience:kmath-nd4j:0.3.0-dev-11'
}

Gradle Kotlin DSL:

repositories {
    maven("https://repo.kotlin.link")
    mavenCentral()
}

dependencies {
    implementation("space.kscience:kmath-nd4j:0.3.0-dev-11")
}

Examples

NDStructure wrapper for INDArray:

import org.nd4j.linalg.factory.*
import scientifik.kmath.nd4j.*
import scientifik.kmath.structures.*

val array = Nd4j.ones(2, 2).asDoubleStructure()
println(array[0, 0]) // 1.0
array[intArrayOf(0, 0)] = 24.0
println(array[0, 0]) // 24.0

Fast element-wise and in-place arithmetics for INDArray:

import org.nd4j.linalg.factory.*
import scientifik.kmath.nd4j.*
import scientifik.kmath.operations.*

val field = DoubleNd4jArrayField(intArrayOf(2, 2))
val array = Nd4j.rand(2, 2).asDoubleStructure()

val res = field {
    (25.0 / array + 20) * 4
}

println(res.ndArray)
// [[  250.6449,  428.5840], 
//  [  269.7913,  202.2077]]

Contributed by Iaroslav Postovalov.