kmath/kmath-nd4j
2021-03-01 13:01:15 +00:00
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docs Rename API classes, update readme files 2020-10-29 15:39:53 +07:00
src Deprecating div methods 2021-03-01 13:01:15 +00:00
build.gradle.kts Gradle plugin 0.8.0 2021-02-21 16:13:40 +03:00
README.md Gradle plugin 0.8.0 2021-02-21 16:13:40 +03:00

ND4J NDStructure implementation (kmath-nd4j)

This subproject implements the following features:

Artifact:

This module artifact: space.kscience:kmath-nd4j:0.2.0.

Bintray release version: Download

Bintray development version: Download

Gradle:

repositories {
    maven { url 'https://repo.kotlin.link' }
    maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
    maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
//     Uncomment if repo.kotlin.link is unavailable 
//     maven { url 'https://dl.bintray.com/mipt-npm/kscience' }
//     maven { url 'https://dl.bintray.com/mipt-npm/dev' }
}

dependencies {
    implementation 'space.kscience:kmath-nd4j:0.2.0'
}

Gradle Kotlin DSL:

repositories {
    maven("https://repo.kotlin.link")
    maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
    maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
//     Uncomment if repo.kotlin.link is unavailable 
//     maven("https://dl.bintray.com/mipt-npm/kscience")
//     maven("https://dl.bintray.com/mipt-npm/dev")
}

dependencies {
    implementation("space.kscience:kmath-nd4j:0.2.0")
}

Examples

NDStructure wrapper for INDArray:

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

val array = Nd4j.ones(2, 2).asRealStructure()
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 = RealNd4jArrayField(intArrayOf(2, 2))
val array = Nd4j.rand(2, 2).asRealStructure()

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

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

Contributed by Iaroslav Postovalov.