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Tensor algebra generified

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This commit is contained in:
Alexander Nozik 2021-10-28 11:18:16 +03:00
parent 4db7398a28
commit 46e7da9ae0
10 changed files with 56 additions and 56 deletions
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8
kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
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@ -81,8 +81,8 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
override fun StructureND<Double>.unaryMinus(): DoubleBufferND = mapInline(toBufferND()) { -it }
override fun StructureND<Double>.div(other: StructureND<Double>): DoubleBufferND =
zipInline(toBufferND(), other.toBufferND()) { l, r -> l / r }
override fun StructureND<Double>.div(arg: StructureND<Double>): DoubleBufferND =
zipInline(toBufferND(), arg.toBufferND()) { l, r -> l / r }
override fun divide(left: StructureND<Double>, right: StructureND<Double>): DoubleBufferND =
zipInline(left.toBufferND(), right.toBufferND()) { l: Double, r: Double -> l / r }
@ -101,8 +101,8 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
override fun StructureND<Double>.minus(arg: StructureND<Double>): DoubleBufferND =
zipInline(toBufferND(), arg.toBufferND()) { l: Double, r: Double -> l - r }
override fun StructureND<Double>.times(other: StructureND<Double>): DoubleBufferND =
zipInline(toBufferND(), other.toBufferND()) { l: Double, r: Double -> l * r }
override fun StructureND<Double>.times(arg: StructureND<Double>): DoubleBufferND =
zipInline(toBufferND(), arg.toBufferND()) { l: Double, r: Double -> l * r }
override fun StructureND<Double>.times(k: Number): DoubleBufferND =
mapInline(toBufferND()) { it * k.toDouble() }

4
kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
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@ -270,10 +270,10 @@ public interface FieldOps<T> : RingOps<T> {
* Division of two elements.
*
* @receiver the dividend.
* @param other the divisor.
* @param arg the divisor.
* @return the quotient.
*/
public operator fun T.div(other: T): T = divide(this, other)
public operator fun T.div(arg: T): T = divide(this, arg)
override fun binaryOperationFunction(operation: String): (left: T, right: T) -> T = when (operation) {
DIV_OPERATION -> ::divide

14
kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
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@ -34,18 +34,18 @@ public abstract class DoubleBufferOps : ExtendedFieldOps<Buffer<Double>>, Norm<B
} else DoubleBuffer(DoubleArray(left.size) { left[it] + right[it] })
}
override fun Buffer<Double>.plus(other: Buffer<Double>): DoubleBuffer = add(this, other)
override fun Buffer<Double>.plus(arg: Buffer<Double>): DoubleBuffer = add(this, arg)
override fun Buffer<Double>.minus(other: Buffer<Double>): DoubleBuffer {
require(other.size == this.size) {
"The size of the first buffer ${this.size} should be the same as for second one: ${other.size} "
override fun Buffer<Double>.minus(arg: Buffer<Double>): DoubleBuffer {
require(arg.size == this.size) {
"The size of the first buffer ${this.size} should be the same as for second one: ${arg.size} "
}
return if (this is DoubleBuffer && other is DoubleBuffer) {
return if (this is DoubleBuffer && arg is DoubleBuffer) {
val aArray = this.array
val bArray = other.array
val bArray = arg.array
DoubleBuffer(DoubleArray(this.size) { aArray[it] - bArray[it] })
} else DoubleBuffer(DoubleArray(this.size) { this[it] - other[it] })
} else DoubleBuffer(DoubleArray(this.size) { this[it] - arg[it] })
}
//

36
kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
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@ -102,10 +102,10 @@ public object DoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOp
override inline fun norm(arg: Double): Double = abs(arg)
override inline fun Double.unaryMinus(): Double = -this
override inline fun Double.plus(other: Double): Double = this + other
override inline fun Double.minus(other: Double): Double = this - other
override inline fun Double.times(other: Double): Double = this * other
override inline fun Double.div(other: Double): Double = this / other
override inline fun Double.plus(arg: Double): Double = this + arg
override inline fun Double.minus(arg: Double): Double = this - arg
override inline fun Double.times(arg: Double): Double = this * arg
override inline fun Double.div(arg: Double): Double = this / arg
}
public val Double.Companion.algebra: DoubleField get() = DoubleField
@ -155,10 +155,10 @@ public object FloatField : ExtendedField<Float>, Norm<Float, Float> {
override inline fun norm(arg: Float): Float = abs(arg)
override inline fun Float.unaryMinus(): Float = -this
override inline fun Float.plus(other: Float): Float = this + other
override inline fun Float.minus(other: Float): Float = this - other
override inline fun Float.times(other: Float): Float = this * other
override inline fun Float.div(other: Float): Float = this / other
override inline fun Float.plus(arg: Float): Float = this + arg
override inline fun Float.minus(arg: Float): Float = this - arg
override inline fun Float.times(arg: Float): Float = this * arg
override inline fun Float.div(arg: Float): Float = this / arg
}
public val Float.Companion.algebra: FloatField get() = FloatField
@ -180,9 +180,9 @@ public object IntRing : Ring<Int>, Norm<Int, Int>, NumericAlgebra<Int> {
override inline fun norm(arg: Int): Int = abs(arg)
override inline fun Int.unaryMinus(): Int = -this
override inline fun Int.plus(other: Int): Int = this + other
override inline fun Int.minus(other: Int): Int = this - other
override inline fun Int.times(other: Int): Int = this * other
override inline fun Int.plus(arg: Int): Int = this + arg
override inline fun Int.minus(arg: Int): Int = this - arg
override inline fun Int.times(arg: Int): Int = this * arg
}
public val Int.Companion.algebra: IntRing get() = IntRing
@ -204,9 +204,9 @@ public object ShortRing : Ring<Short>, Norm<Short, Short>, NumericAlgebra<Short>
override fun norm(arg: Short): Short = if (arg > 0) arg else (-arg).toShort()
override inline fun Short.unaryMinus(): Short = (-this).toShort()
override inline fun Short.plus(other: Short): Short = (this + other).toShort()
override inline fun Short.minus(other: Short): Short = (this - other).toShort()
override inline fun Short.times(other: Short): Short = (this * other).toShort()
override inline fun Short.plus(arg: Short): Short = (this + arg).toShort()
override inline fun Short.minus(arg: Short): Short = (this - arg).toShort()
override inline fun Short.times(arg: Short): Short = (this * arg).toShort()
}
public val Short.Companion.algebra: ShortRing get() = ShortRing
@ -230,7 +230,7 @@ public object ByteRing : Ring<Byte>, Norm<Byte, Byte>, NumericAlgebra<Byte> {
override inline fun Byte.unaryMinus(): Byte = (-this).toByte()
override inline fun Byte.plus(arg: Byte): Byte = (this + arg).toByte()
override inline fun Byte.minus(arg: Byte): Byte = (this - arg).toByte()
override inline fun Byte.times(other: Byte): Byte = (this * other).toByte()
override inline fun Byte.times(arg: Byte): Byte = (this * arg).toByte()
}
public val Byte.Companion.algebra: ByteRing get() = ByteRing
@ -252,9 +252,9 @@ public object LongRing : Ring<Long>, Norm<Long, Long>, NumericAlgebra<Long> {
override fun norm(arg: Long): Long = abs(arg)
override inline fun Long.unaryMinus(): Long = (-this)
override inline fun Long.plus(other: Long): Long = (this + other)
override inline fun Long.minus(other: Long): Long = (this - other)
override inline fun Long.times(other: Long): Long = (this * other)
override inline fun Long.plus(arg: Long): Long = (this + arg)
override inline fun Long.minus(arg: Long): Long = (this - arg)
override inline fun Long.times(arg: Long): Long = (this * arg)
}
public val Long.Companion.algebra: LongRing get() = LongRing

12
kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
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@ -59,8 +59,8 @@ public object JafamaDoubleField : ExtendedField<Double>, Norm<Double, Double>, S
override inline fun Double.unaryMinus(): Double = -this
override inline fun Double.plus(arg: Double): Double = this + arg
override inline fun Double.minus(arg: Double): Double = this - arg
override inline fun Double.times(other: Double): Double = this * other
override inline fun Double.div(other: Double): Double = this / other
override inline fun Double.times(arg: Double): Double = this * arg
override inline fun Double.div(arg: Double): Double = this / arg
}
/**
@ -108,8 +108,8 @@ public object StrictJafamaDoubleField : ExtendedField<Double>, Norm<Double, Doub
override inline fun norm(arg: Double): Double = StrictFastMath.abs(arg)
override inline fun Double.unaryMinus(): Double = -this
override inline fun Double.plus(other: Double): Double = this + other
override inline fun Double.minus(other: Double): Double = this - other
override inline fun Double.times(other: Double): Double = this * other
override inline fun Double.div(other: Double): Double = this / other
override inline fun Double.plus(arg: Double): Double = this + arg
override inline fun Double.minus(arg: Double): Double = this - arg
override inline fun Double.times(arg: Double): Double = this * arg
override inline fun Double.div(arg: Double): Double = this / arg
}

6
kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
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@ -294,11 +294,11 @@ public abstract class MultikDivisionTensorAlgebra<T, A : Field<T>>
}
}
override fun Tensor<T>.divAssign(other: StructureND<T>) {
override fun Tensor<T>.divAssign(arg: StructureND<T>) {
if (this is MultikTensor) {
array.divAssign(other.asMultik().array)
array.divAssign(arg.asMultik().array)
} else {
mapInPlace { index, t -> elementAlgebra.divide(t, other[index]) }
mapInPlace { index, t -> elementAlgebra.divide(t, arg[index]) }
}
}
}

4
kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
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@ -148,8 +148,8 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
ndArray.divi(value)
}
override fun Tensor<T>.divAssign(other: StructureND<T>) {
ndArray.divi(other.ndArray)
override fun Tensor<T>.divAssign(arg: StructureND<T>) {
ndArray.divi(arg.ndArray)
}
override fun StructureND<T>.variance(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =

6
kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
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@ -53,9 +53,9 @@ public interface TensorPartialDivisionAlgebra<T, A : Field<T>> : TensorAlgebra<T
public operator fun Tensor<T>.divAssign(value: T)
/**
* Each element of this tensor is divided by each element of the [other] tensor.
* Each element of this tensor is divided by each element of the [arg] tensor.
*
* @param other tensor to be divided by.
* @param arg tensor to be divided by.
*/
public operator fun Tensor<T>.divAssign(other: StructureND<T>)
public operator fun Tensor<T>.divAssign(arg: StructureND<T>)
}

8
kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
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@ -74,8 +74,8 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
}
}
override fun StructureND<Double>.div(other: StructureND<Double>): DoubleTensor {
val broadcast = broadcastTensors(tensor, other.tensor)
override fun StructureND<Double>.div(arg: StructureND<Double>): DoubleTensor {
val broadcast = broadcastTensors(tensor, arg.tensor)
val newThis = broadcast[0]
val newOther = broadcast[1]
val resBuffer = DoubleArray(newThis.indices.linearSize) { i ->
@ -85,8 +85,8 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
return DoubleTensor(newThis.shape, resBuffer)
}
override fun Tensor<Double>.divAssign(other: StructureND<Double>) {
val newOther = broadcastTo(other.tensor, tensor.shape)
override fun Tensor<Double>.divAssign(arg: StructureND<Double>) {
val newOther = broadcastTo(arg.tensor, tensor.shape)
for (i in 0 until tensor.indices.linearSize) {
tensor.mutableBuffer.array()[tensor.bufferStart + i] /=
newOther.mutableBuffer.array()[tensor.bufferStart + i]

14
kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
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@ -314,11 +314,11 @@ public open class DoubleTensorAlgebra :
return DoubleTensor(shape, resBuffer)
}
override fun StructureND<Double>.div(other: StructureND<Double>): DoubleTensor {
checkShapesCompatible(tensor, other)
override fun StructureND<Double>.div(arg: StructureND<Double>): DoubleTensor {
checkShapesCompatible(tensor, arg)
val resBuffer = DoubleArray(tensor.numElements) { i ->
tensor.mutableBuffer.array()[other.tensor.bufferStart + i] /
other.tensor.mutableBuffer.array()[other.tensor.bufferStart + i]
tensor.mutableBuffer.array()[arg.tensor.bufferStart + i] /
arg.tensor.mutableBuffer.array()[arg.tensor.bufferStart + i]
}
return DoubleTensor(tensor.shape, resBuffer)
}
@ -329,11 +329,11 @@ public open class DoubleTensorAlgebra :
}
}
override fun Tensor<Double>.divAssign(other: StructureND<Double>) {
checkShapesCompatible(tensor, other)
override fun Tensor<Double>.divAssign(arg: StructureND<Double>) {
checkShapesCompatible(tensor, arg)
for (i in 0 until tensor.numElements) {
tensor.mutableBuffer.array()[tensor.bufferStart + i] /=
other.tensor.mutableBuffer.array()[tensor.bufferStart + i]
arg.tensor.mutableBuffer.array()[tensor.bufferStart + i]
}
}