forked from kscience/kmath
Fixed performance tests.
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@ -30,12 +30,14 @@ fun main() {
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//commons-math
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//commons-math
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val cmSolver = CMMatrixContext
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val cmContext = CMMatrixContext
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val commonsTime = measureTimeMillis {
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val commonsTime = measureTimeMillis {
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val cm = matrix.toCM() //avoid overhead on conversion
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cmContext.run {
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repeat(n) {
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val cm = matrix.toCM() //avoid overhead on conversion
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val res = cmSolver.inverse(cm)
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repeat(n) {
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val res = inverse(cm)
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}
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}
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}
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}
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}
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@ -50,7 +52,7 @@ fun main() {
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komaContext.run {
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komaContext.run {
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val km = matrix.toKoma() //avoid overhead on conversion
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val km = matrix.toKoma() //avoid overhead on conversion
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repeat(n) {
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repeat(n) {
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val res = cmSolver.inverse(km)
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val res = inverse(km)
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}
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}
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}
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}
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}
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}
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@ -1,5 +1,6 @@
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package scientifik.kmath.linear
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package scientifik.kmath.linear
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import koma.matrix.ejml.EJMLMatrixFactory
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import kotlin.random.Random
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import kotlin.random.Random
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import kotlin.system.measureTimeMillis
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import kotlin.system.measureTimeMillis
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@ -13,14 +14,28 @@ fun main() {
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// //warmup
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// //warmup
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// matrix1 dot matrix2
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// matrix1 dot matrix2
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val cmMatrix1 = matrix1.toCM()
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CMMatrixContext.run {
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val cmMatrix2 = matrix2.toCM()
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val cmMatrix1 = matrix1.toCM()
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val cmMatrix2 = matrix2.toCM()
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val cmTime = measureTimeMillis {
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val cmTime = measureTimeMillis {
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cmMatrix1 dot cmMatrix2
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cmMatrix1 dot cmMatrix2
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}
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println("CM implementation time: $cmTime")
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}
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}
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println("CM implementation time: $cmTime")
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KomaMatrixContext(EJMLMatrixFactory()).run {
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val komaMatrix1 = matrix1.toKoma()
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val komaMatrix2 = matrix2.toKoma()
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val komaTime = measureTimeMillis {
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komaMatrix1 dot komaMatrix2
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}
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println("Koma-ejml implementation time: $komaTime")
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}
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val genericTime = measureTimeMillis {
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val genericTime = measureTimeMillis {
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val res = matrix1 dot matrix2
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val res = matrix1 dot matrix2
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