import org.jetbrains.kotlin.gradle.tasks.KotlinCompile plugins { kotlin("jvm") kotlin("plugin.allopen") id("kotlinx.benchmark") } allOpen.annotation("org.openjdk.jmh.annotations.State") sourceSets.register("benchmarks") repositories { jcenter() maven("https://repo.kotlin.link") maven("https://clojars.org/repo") maven("https://dl.bintray.com/egor-bogomolov/astminer/") maven("https://dl.bintray.com/hotkeytlt/maven") maven("https://dl.bintray.com/kotlin/kotlin-eap") maven("https://dl.bintray.com/kotlin/kotlinx") maven("https://dl.bintray.com/mipt-npm/dev") maven("https://dl.bintray.com/mipt-npm/kscience") maven("https://jitpack.io") maven("http://logicrunch.research.it.uu.se/maven/") mavenCentral() } dependencies { implementation(project(":kmath-ast")) implementation(project(":kmath-kotlingrad")) implementation(project(":kmath-core")) implementation(project(":kmath-coroutines")) implementation(project(":kmath-commons")) implementation(project(":kmath-complex")) implementation(project(":kmath-stat")) implementation(project(":kmath-viktor")) implementation(project(":kmath-dimensions")) implementation(project(":kmath-ejml")) implementation(project(":kmath-nd4j")) implementation(project(":kmath-for-real")) implementation("org.deeplearning4j:deeplearning4j-core:1.0.0-beta7") implementation("org.nd4j:nd4j-native:1.0.0-beta7") // uncomment if your system supports AVX2 // val os = System.getProperty("os.name") // // if (System.getProperty("os.arch") in arrayOf("x86_64", "amd64")) when { // os.startsWith("Windows") -> implementation("org.nd4j:nd4j-native:1.0.0-beta7:windows-x86_64-avx2") // os == "Linux" -> implementation("org.nd4j:nd4j-native:1.0.0-beta7:linux-x86_64-avx2") // os == "Mac OS X" -> implementation("org.nd4j:nd4j-native:1.0.0-beta7:macosx-x86_64-avx2") // } else implementation("org.nd4j:nd4j-native-platform:1.0.0-beta7") implementation("org.jetbrains.kotlinx:kotlinx-io:0.2.0-npm-dev-11") implementation("org.jetbrains.kotlinx:kotlinx.benchmark.runtime:0.2.0-dev-20") implementation("org.slf4j:slf4j-simple:1.7.30") // plotting implementation("kscience.plotlykt:plotlykt-server:0.3.1-dev") "benchmarksImplementation"("org.jetbrains.kotlinx:kotlinx.benchmark.runtime-jvm:0.2.0-dev-20") "benchmarksImplementation"(sourceSets.main.get().output + sourceSets.main.get().runtimeClasspath) } // Configure benchmark benchmark { // Setup configurations targets.register("benchmarks") // This one matches sourceSet name above configurations.register("buffer") { warmups = 1 // number of warmup iterations iterations = 3 // number of iterations iterationTime = 500 // time in seconds per iteration iterationTimeUnit = "ms" // time unity for iterationTime, default is seconds include("BufferBenchmark") } configurations.register("dot") { warmups = 1 // number of warmup iterations iterations = 3 // number of iterations iterationTime = 500 // time in seconds per iteration iterationTimeUnit = "ms" // time unity for iterationTime, default is seconds include("DotBenchmark") } configurations.register("expressions") { warmups = 1 // number of warmup iterations iterations = 3 // number of iterations iterationTime = 500 // time in seconds per iteration iterationTimeUnit = "ms" // time unity for iterationTime, default is seconds include("ExpressionsInterpretersBenchmark") } configurations.register("matrixInverse") { warmups = 1 // number of warmup iterations iterations = 3 // number of iterations iterationTime = 500 // time in seconds per iteration iterationTimeUnit = "ms" // time unity for iterationTime, default is seconds include("MatrixInverseBenchmark") } } kotlin.sourceSets.all { with(languageSettings) { useExperimentalAnnotation("kotlin.contracts.ExperimentalContracts") useExperimentalAnnotation("kotlin.ExperimentalUnsignedTypes") } } tasks.withType { kotlinOptions.jvmTarget = "11" } readme { maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL }