kscience/kmath
8
0
Fork 1
Code Issues Pull Requests 6 Packages Projects Releases 16 Wiki Activity

Optimize reverse division for FP INDArrayAlgebra

Browse Source
This commit is contained in:
Iaroslav 2020-06-29 03:48:11 +07:00
parent d7949fdb01
commit 8a8b314d0a
No known key found for this signature in database
GPG Key ID: 46E15E4A31B3BCD7
1 changed files with 8 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
kmath-nd4j/src/main/kotlin/scientifik.kmath.nd4j/INDArrayAlgebra.kt
View File

@ -7,8 +7,8 @@ import scientifik.kmath.structures.MutableNDStructure
import scientifik.kmath.structures.NDField
import scientifik.kmath.structures.NDRing
interface INDArrayRing<T, F, N> :
NDRing<T, F, N> where F : Ring<T>, N : INDArrayStructure<T>, N : MutableNDStructure<T> {
interface INDArrayRing<T, R, N> :
NDRing<T, R, N> where R : Ring<T>, N : INDArrayStructure<T>, N : MutableNDStructure<T> {
fun INDArray.wrap(): N
override val zero: N
@ -17,13 +17,13 @@ interface INDArrayRing<T, F, N> :
override val one: N
get() = Nd4j.ones(*shape).wrap()
override fun produce(initializer: F.(IntArray) -> T): N {
override fun produce(initializer: R.(IntArray) -> T): N {
val struct = Nd4j.create(*shape).wrap()
struct.elements().map(Pair<IntArray, T>::first).forEach { struct[it] = elementContext.initializer(it) }
return struct
}
override fun map(arg: N, transform: F.(T) -> T): N {
override fun map(arg: N, transform: R.(T) -> T): N {
val new = Nd4j.create(*shape)
Nd4j.copy(arg.ndArray, new)
val newStruct = new.wrap()
@ -31,13 +31,13 @@ interface INDArrayRing<T, F, N> :
return newStruct
}
override fun mapIndexed(arg: N, transform: F.(index: IntArray, T) -> T): N {
override fun mapIndexed(arg: N, transform: R.(index: IntArray, T) -> T): N {
val new = Nd4j.create(*shape).wrap()
new.elements().forEach { (idx, _) -> new[idx] = elementContext.transform(idx, arg[idx]) }
return new
}
override fun combine(a: N, b: N, transform: F.(T, T) -> T): N {
override fun combine(a: N, b: N, transform: R.(T, T) -> T): N {
val new = Nd4j.create(*shape).wrap()
new.elements().forEach { (idx, _) -> new[idx] = elementContext.transform(a[idx], b[idx]) }
return new
@ -66,6 +66,7 @@ class RealINDArrayField(override val shape: IntArray, override val elementContex
override fun INDArrayRealStructure.plus(arg: Double): INDArrayRealStructure = ndArray.addi(arg).wrap()
override fun INDArrayRealStructure.minus(arg: Double): INDArrayRealStructure = ndArray.subi(arg).wrap()
override fun INDArrayRealStructure.times(arg: Double): INDArrayRealStructure = ndArray.muli(arg).wrap()
override fun Double.div(arg: INDArrayRealStructure): INDArrayRealStructure = arg.ndArray.rdivi(this).wrap()
}
class FloatINDArrayField(override val shape: IntArray, override val elementContext: Field<Float> = FloatField) :
@ -75,6 +76,7 @@ class FloatINDArrayField(override val shape: IntArray, override val elementConte
override fun INDArrayFloatStructure.plus(arg: Float): INDArrayFloatStructure = ndArray.addi(arg).wrap()
override fun INDArrayFloatStructure.minus(arg: Float): INDArrayFloatStructure = ndArray.subi(arg).wrap()
override fun INDArrayFloatStructure.times(arg: Float): INDArrayFloatStructure = ndArray.muli(arg).wrap()
override fun Float.div(arg: INDArrayFloatStructure): INDArrayFloatStructure = arg.ndArray.rdivi(this).wrap()
}
class IntINDArrayRing(override val shape: IntArray, override val elementContext: Ring<Int> = IntRing) :