forked from kscience/kmath
Implement the ND4J module for scalars
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@ -11,6 +11,7 @@ allprojects {
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repositories {
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jcenter()
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maven("https://dl.bintray.com/kotlin/kotlinx")
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mavenCentral()
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}
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group = "scientifik"
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@ -1,3 +1,9 @@
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plugins {
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id("scientifik.jvm")
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plugins { id("scientifik.jvm") }
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dependencies {
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api(project(":kmath-core"))
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api("org.nd4j:nd4j-api:1.0.0-beta7")
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testImplementation("org.deeplearning4j:deeplearning4j-core:1.0.0-beta7")
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testImplementation("org.nd4j:nd4j-native-platform:1.0.0-beta7")
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testImplementation("org.slf4j:slf4j-simple:1.7.30")
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}
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@ -0,0 +1,19 @@
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package scientifik.kmath.nd4j
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import org.nd4j.linalg.api.ndarray.INDArray
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import org.nd4j.linalg.api.shape.Shape
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internal class INDArrayScalarsIterator(private val iterateOver: INDArray) : Iterator<Pair<IntArray, INDArray>> {
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private var i: Int = 0
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override fun hasNext(): Boolean = i < iterateOver.length()
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override fun next(): Pair<IntArray, INDArray> {
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val idx = if (iterateOver.ordering() == 'c')
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Shape.ind2subC(iterateOver, i++.toLong())!!
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else
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Shape.ind2sub(iterateOver, i++.toLong())!!
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return narrowToIntArray(idx) to iterateOver.getScalar(*idx)
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}
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}
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@ -0,0 +1,14 @@
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package scientifik.kmath.nd4j
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import org.nd4j.linalg.api.ndarray.INDArray
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import scientifik.kmath.structures.NDStructure
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internal fun narrowToIntArray(la: LongArray): IntArray = IntArray(la.size) { la[it].toInt() }
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data class ND4JStructure<T>(val ndArray: INDArray) : NDStructure<INDArray> {
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override val shape: IntArray
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get() = narrowToIntArray(ndArray.shape())
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override fun get(index: IntArray): INDArray = ndArray.getScalar(*index)
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override fun elements(): Sequence<Pair<IntArray, INDArray>> = Sequence { INDArrayScalarsIterator(ndArray) }
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}
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