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Merge pull request #420 from mipt-npm/dev

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0.3.0-dev-17
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Alexander Nozik 2021-10-18 13:41:56 +03:00 committed by GitHub
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2 changed files with 3 additions and 9 deletions
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2
build.gradle.kts
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@ -19,7 +19,7 @@ allprojects {
} }
group = "space.kscience" group = "space.kscience"
version = "0.3.0-dev-16" version = "0.3.0-dev-17"
} }
subprojects { subprojects {

10
examples/src/main/kotlin/space/kscience/kmath/tensors/multik.kt
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@ -5,20 +5,14 @@
package space.kscience.kmath.tensors package space.kscience.kmath.tensors
import edu.mcgill.kaliningraph.power
import org.jetbrains.kotlinx.multik.api.Multik import org.jetbrains.kotlinx.multik.api.Multik
import org.jetbrains.kotlinx.multik.api.linalg.dot
import org.jetbrains.kotlinx.multik.api.math.exp
import org.jetbrains.kotlinx.multik.api.ndarray import org.jetbrains.kotlinx.multik.api.ndarray
import org.jetbrains.kotlinx.multik.ndarray.operations.minus
import org.jetbrains.kotlinx.multik.ndarray.operations.plus
import org.jetbrains.kotlinx.multik.ndarray.operations.unaryMinus
import space.kscience.kmath.multik.multikND import space.kscience.kmath.multik.multikND
import space.kscience.kmath.nd.one import space.kscience.kmath.nd.one
import space.kscience.kmath.operations.DoubleField import space.kscience.kmath.operations.DoubleField
fun main(): Unit = with(DoubleField.multikND) { fun main(): Unit = with(DoubleField.multikND) {
val a = Multik.ndarray(intArrayOf(1, 2, 3)).asType<Double>().wrap() val a = Multik.ndarray(intArrayOf(1, 2, 3)).asType<Double>().wrap()
val b = Multik.ndarray(doubleArrayOf(1.0, 2.0, 3.0)) val b = Multik.ndarray(doubleArrayOf(1.0, 2.0, 3.0)).wrap()
one(a.shape) - a one(a.shape) - a + b * 3
} }