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Feature/tensors performance #497

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margarita0303 wants to merge 91 commits from feature/tensors-performance into feature/tensors-performance
pull from: feature/tensors-performance
merge into: kscience:feature/tensors-performance
Conversation 1 Commits 91 Files Changed 96 +4 -4
1 changed files with 4 additions and 4 deletions
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8
benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/SVDBenchmark.kt
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@ -8,9 +8,9 @@ import kotlinx.benchmark.Benchmark
import kotlinx.benchmark.Blackhole import kotlinx.benchmark.Blackhole
import kotlinx.benchmark.Scope import kotlinx.benchmark.Scope
import kotlinx.benchmark.State import kotlinx.benchmark.State
import space.kscience.kmath.tensors.core.BroadcastDoubleTensorAlgebra.svdGolabKahan import space.kscience.kmath.tensors.core.BroadcastDoubleTensorAlgebra.svd
import space.kscience.kmath.tensors.core.DoubleTensorAlgebra import space.kscience.kmath.tensors.core.DoubleTensorAlgebra
import space.kscience.kmath.tensors.core.DoubleTensorAlgebra.Companion.svd import space.kscience.kmath.tensors.core.DoubleTensorAlgebra.Companion.svdPowerMethod
@State(Scope.Benchmark) @State(Scope.Benchmark)
class SVDBenchmark { class SVDBenchmark {
@ -21,14 +21,14 @@ class SVDBenchmark {
@Benchmark @Benchmark
fun svdPowerMethod(blackhole: Blackhole) { fun svdPowerMethod(blackhole: Blackhole) {
blackhole.consume( blackhole.consume(
tensor.svd() tensor.svdPowerMethod()
) )
} }
@Benchmark @Benchmark
fun svdGolabKahan(blackhole: Blackhole) { fun svdGolabKahan(blackhole: Blackhole) {
blackhole.consume( blackhole.consume(
tensor.svdGolabKahan() tensor.svd()
) )
} }
} }