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Original file line number Diff line number Diff line change
Expand Up @@ -4,16 +4,34 @@

package org.jetbrains.kotlinx.multik.api.linalg

import org.jetbrains.kotlinx.multik.api.mk
import org.jetbrains.kotlinx.multik.api.zeros
import org.jetbrains.kotlinx.multik.ndarray.data.D1
import org.jetbrains.kotlinx.multik.ndarray.data.D2
import org.jetbrains.kotlinx.multik.ndarray.data.MultiArray
import org.jetbrains.kotlinx.multik.ndarray.operations.stack
import kotlin.jvm.JvmName

/**
* Returns norm of float vector
*/
@JvmName("normFV")
public fun LinAlg.norm(mat: MultiArray<Float, D1>, norm: Norm = Norm.Fro): Float =
this.linAlgEx.normF(mk.stack(mat, mk.zeros(mat.size)), norm)

/**
* Returns norm of float matrix
*/
@JvmName("normF")
public fun LinAlg.norm(mat: MultiArray<Float, D2>, norm: Norm = Norm.Fro): Float = this.linAlgEx.normF(mat, norm)

/**
* Returns norm of double vector
*/
@JvmName("normDV")
public fun LinAlg.norm(mat: MultiArray<Double, D1>, norm: Norm = Norm.Fro): Double =
this.linAlgEx.norm(mk.stack(mat, mk.zeros(mat.size)), norm)

/**
* Returns norm of double matrix
*/
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Original file line number Diff line number Diff line change
Expand Up @@ -492,6 +492,16 @@ class KELinAlgTest {
}

}

@Test
fun compute_norm_for_vector() {
val vector = mk.ndarray(mk[1.1, 0.0, 3.2, 2.3, 5.0])

assertEquals(6.460650122085238, mk.linalg.norm(vector, Norm.Fro))
assertEquals(11.600000000000001, mk.linalg.norm(vector, Norm.Inf))
assertEquals(5.0, mk.linalg.norm(vector, Norm.N1))
assertEquals(5.0, mk.linalg.norm(vector, Norm.Max))
}
}


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Original file line number Diff line number Diff line change
Expand Up @@ -324,4 +324,14 @@ class NativeLinAlgTest {
assertFloatingNumber(7.0, NativeLinAlg.norm(b, Norm.N1))
assertFloatingNumber(4.0, NativeLinAlg.norm(b, Norm.Max))
}

@Test
fun `compute norm for vector`() {
val vector = mk.ndarray(mk[1.1, 0.0, 3.2, 2.3, 5.0])

assertEquals(6.460650122085238, mk.linalg.norm(vector, Norm.Fro))
assertEquals(11.600000000000001, mk.linalg.norm(vector, Norm.Inf))
assertEquals(5.0, mk.linalg.norm(vector, Norm.N1))
assertEquals(5.0, mk.linalg.norm(vector, Norm.Max))
}
}