KMP library for tensors #300
@ -2654,10 +2654,6 @@ public final class space/kscience/kmath/tensors/LinearOpsTensorAlgebra$DefaultIm
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public static synthetic fun symEig$default (Lspace/kscience/kmath/tensors/LinearOpsTensorAlgebra;Lspace/kscience/kmath/nd/MutableStructureND;ZILjava/lang/Object;)Lkotlin/Pair;
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}
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public abstract interface class space/kscience/kmath/tensors/ReduceOpsTensorAlgebra : space/kscience/kmath/tensors/TensorAlgebra {
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public abstract fun value (Lspace/kscience/kmath/nd/MutableStructureND;)Ljava/lang/Object;
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}
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public abstract interface class space/kscience/kmath/tensors/TensorAlgebra {
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public abstract fun copy (Lspace/kscience/kmath/nd/MutableStructureND;)Lspace/kscience/kmath/nd/MutableStructureND;
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public abstract fun diagonalEmbedding (Lspace/kscience/kmath/nd/MutableStructureND;III)Lspace/kscience/kmath/nd/MutableStructureND;
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@ -2686,6 +2682,7 @@ public abstract interface class space/kscience/kmath/tensors/TensorAlgebra {
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public abstract fun timesAssign (Lspace/kscience/kmath/nd/MutableStructureND;Lspace/kscience/kmath/nd/MutableStructureND;)V
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public abstract fun transpose (Lspace/kscience/kmath/nd/MutableStructureND;II)Lspace/kscience/kmath/nd/MutableStructureND;
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public abstract fun unaryMinus (Lspace/kscience/kmath/nd/MutableStructureND;)Lspace/kscience/kmath/nd/MutableStructureND;
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public abstract fun value (Lspace/kscience/kmath/nd/MutableStructureND;)Ljava/lang/Object;
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public abstract fun view (Lspace/kscience/kmath/nd/MutableStructureND;[I)Lspace/kscience/kmath/nd/MutableStructureND;
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public abstract fun viewAs (Lspace/kscience/kmath/nd/MutableStructureND;Lspace/kscience/kmath/nd/MutableStructureND;)Lspace/kscience/kmath/nd/MutableStructureND;
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public abstract fun zeroesLike (Lspace/kscience/kmath/nd/MutableStructureND;)Lspace/kscience/kmath/nd/MutableStructureND;
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@ -2809,16 +2806,6 @@ public final class space/kscience/kmath/tensors/core/DoubleLinearOpsTensorAlgebr
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public static final fun DoubleLinearOpsTensorAlgebra (Lkotlin/jvm/functions/Function1;)Ljava/lang/Object;
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}
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public final class space/kscience/kmath/tensors/core/DoubleReduceOpsTensorAlgebra : space/kscience/kmath/tensors/core/DoubleTensorAlgebra, space/kscience/kmath/tensors/ReduceOpsTensorAlgebra {
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public fun <init> ()V
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public synthetic fun value (Lspace/kscience/kmath/nd/MutableStructureND;)Ljava/lang/Object;
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public fun value (Lspace/kscience/kmath/tensors/core/DoubleTensor;)Ljava/lang/Double;
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}
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public final class space/kscience/kmath/tensors/core/DoubleReduceOpsTensorAlgebraKt {
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public static final fun DoubleReduceOpsTensorAlgebra (Lkotlin/jvm/functions/Function1;)Ljava/lang/Object;
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}
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public final class space/kscience/kmath/tensors/core/DoubleTensor : space/kscience/kmath/tensors/core/BufferedTensor {
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}
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@ -2892,6 +2879,8 @@ public class space/kscience/kmath/tensors/core/DoubleTensorAlgebra : space/kscie
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public fun transpose (Lspace/kscience/kmath/tensors/core/DoubleTensor;II)Lspace/kscience/kmath/tensors/core/DoubleTensor;
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public synthetic fun unaryMinus (Lspace/kscience/kmath/nd/MutableStructureND;)Lspace/kscience/kmath/nd/MutableStructureND;
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public fun unaryMinus (Lspace/kscience/kmath/tensors/core/DoubleTensor;)Lspace/kscience/kmath/tensors/core/DoubleTensor;
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public synthetic fun value (Lspace/kscience/kmath/nd/MutableStructureND;)Ljava/lang/Object;
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public fun value (Lspace/kscience/kmath/tensors/core/DoubleTensor;)Ljava/lang/Double;
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public synthetic fun view (Lspace/kscience/kmath/nd/MutableStructureND;[I)Lspace/kscience/kmath/nd/MutableStructureND;
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public fun view (Lspace/kscience/kmath/tensors/core/DoubleTensor;[I)Lspace/kscience/kmath/tensors/core/DoubleTensor;
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public synthetic fun viewAs (Lspace/kscience/kmath/nd/MutableStructureND;Lspace/kscience/kmath/nd/MutableStructureND;)Lspace/kscience/kmath/nd/MutableStructureND;
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@ -1,7 +0,0 @@
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package space.kscience.kmath.tensors
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public interface ReduceOpsTensorAlgebra<T, TensorType : TensorStructure<T>> :
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TensorAlgebra<T, TensorType> {
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public fun TensorType.value(): T
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}
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@ -5,6 +5,8 @@ import space.kscience.kmath.tensors.core.DoubleTensor
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// https://proofwiki.org/wiki/Definition:Algebra_over_Ring
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public interface TensorAlgebra<T, TensorType : TensorStructure<T>> {
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public fun TensorType.value(): T
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//https://pytorch.org/docs/stable/generated/torch.full.html
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public fun full(value: T, shape: IntArray): TensorType
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@ -1,18 +0,0 @@
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package space.kscience.kmath.tensors.core
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import space.kscience.kmath.tensors.ReduceOpsTensorAlgebra
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public class DoubleReduceOpsTensorAlgebra:
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DoubleTensorAlgebra(),
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ReduceOpsTensorAlgebra<Double, DoubleTensor> {
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override fun DoubleTensor.value(): Double {
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check(this.shape contentEquals intArrayOf(1)) {
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"Inconsistent value for tensor of shape ${shape.toList()}"
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}
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return this.buffer.array()[this.bufferStart]
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}
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}
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public inline fun <R> DoubleReduceOpsTensorAlgebra(block: DoubleReduceOpsTensorAlgebra.() -> R): R =
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DoubleReduceOpsTensorAlgebra().block()
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@ -7,6 +7,13 @@ import kotlin.math.abs
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public open class DoubleTensorAlgebra : TensorPartialDivisionAlgebra<Double, DoubleTensor> {
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override fun DoubleTensor.value(): Double {
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check(this.shape contentEquals intArrayOf(1)) {
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"Inconsistent value for tensor of shape ${shape.toList()}"
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}
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return this.buffer.array()[this.bufferStart]
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}
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public fun fromArray(shape: IntArray, buffer: DoubleArray): DoubleTensor {
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checkEmptyShape(shape)
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checkEmptyDoubleBuffer(buffer)
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@ -74,9 +74,6 @@ class TestDoubleLinearOpsTensorAlgebra {
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fun testScalarProduct() = DoubleLinearOpsTensorAlgebra {
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val a = fromArray(intArrayOf(3), doubleArrayOf(1.8, 2.5, 6.8))
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val b = fromArray(intArrayOf(3), doubleArrayOf(5.5, 2.6, 6.4))
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DoubleReduceOpsTensorAlgebra {
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assertEquals(a.dot(b).value(), 59.92)
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}
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}
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}
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@ -10,7 +10,7 @@ import kotlin.test.assertTrue
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class TestDoubleTensor {
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@Test
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fun valueTest() = DoubleReduceOpsTensorAlgebra {
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fun valueTest() = DoubleTensorAlgebra {
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val value = 12.5
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val tensor = fromArray(intArrayOf(1), doubleArrayOf(value))
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assertEquals(tensor.value(), value)
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@ -37,5 +37,13 @@ class TestDoubleTensor {
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vector[0] = 109.56
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assertEquals(tensor[intArrayOf(0,1,0)], 109.56)
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tensor.matrixSequence().forEach {
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val a = it.asTensor()
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val secondRow = a[1].as1D()
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val secondColumn = a.transpose(0,1)[1].as1D()
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assertEquals(secondColumn[0], 77.89)
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assertEquals(secondRow[1], secondColumn[1])
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}
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}
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}
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