2020-06-29 18:06:13 +03:00
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# ND4J NDStructure implementation (`kmath-nd4j`)
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This subproject implements the following features:
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- NDStructure wrapper for INDArray.
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2020-08-15 14:35:16 +03:00
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- Optimized NDRing implementations for INDArray storing Ints and Longs.
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- Optimized NDField implementations for INDArray storing Floats and Doubles.
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2020-06-29 18:06:13 +03:00
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> #### Artifact:
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> This module is distributed in the artifact `scientifik:kmath-nd4j:0.1.4-dev-8`.
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>
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> **Gradle:**
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>
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> ```gradle
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> repositories {
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2020-09-21 16:53:31 +03:00
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> mavenCentral()
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2020-06-29 18:06:13 +03:00
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> maven { url 'https://dl.bintray.com/mipt-npm/scientifik' }
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> maven { url 'https://dl.bintray.com/mipt-npm/dev' }
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> }
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>
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> dependencies {
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> implementation 'scientifik:kmath-nd4j:0.1.4-dev-8'
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2020-09-21 16:53:31 +03:00
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> implementation 'org.nd4j:nd4j-native-platform:1.0.0-beta7'
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2020-06-29 18:06:13 +03:00
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> }
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> ```
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> **Gradle Kotlin DSL:**
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>
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> ```kotlin
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> repositories {
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2020-09-21 16:53:31 +03:00
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> mavenCentral()
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2020-06-29 18:06:13 +03:00
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> maven("https://dl.bintray.com/mipt-npm/scientifik")
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> maven("https://dl.bintray.com/mipt-npm/dev")
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> }
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>
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> dependencies {
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> implementation("scientifik:kmath-nd4j:0.1.4-dev-8")
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2020-09-21 16:53:31 +03:00
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> implementation("org.nd4j:nd4j-native-platform:1.0.0-beta7")
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2020-06-29 18:06:13 +03:00
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> }
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> ```
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2020-09-21 16:53:31 +03:00
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>
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> This distribution also needs an implementation of ND4J API. The ND4J Native Platform is usually the fastest one, so
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> it is included to the snippet.
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2020-06-29 18:06:13 +03:00
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>
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## Examples
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NDStructure wrapper for INDArray:
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```kotlin
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import org.nd4j.linalg.factory.*
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import scientifik.kmath.nd4j.*
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import scientifik.kmath.structures.*
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2020-08-15 14:35:16 +03:00
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val array = Nd4j.ones(2, 2).asRealStructure()
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2020-06-29 18:06:13 +03:00
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println(array[0, 0]) // 1.0
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array[intArrayOf(0, 0)] = 24.0
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println(array[0, 0]) // 24.0
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```
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2020-06-29 18:30:08 +03:00
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Fast element-wise and in-place arithmetics for INDArray:
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2020-06-29 18:06:13 +03:00
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```kotlin
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import org.nd4j.linalg.factory.*
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import scientifik.kmath.nd4j.*
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import scientifik.kmath.operations.*
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val field = RealINDArrayField(intArrayOf(2, 2))
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2020-08-15 14:35:16 +03:00
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val array = Nd4j.rand(2, 2).asRealStructure()
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2020-06-29 18:06:13 +03:00
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val res = field {
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(25.0 / array + 20) * 4
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}
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println(res.ndArray)
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// [[ 250.6449, 428.5840],
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// [ 269.7913, 202.2077]]
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```
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Contributed by [Iaroslav Postovalov](https://github.com/CommanderTvis).
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