81 lines
2.3 KiB
Plaintext
81 lines
2.3 KiB
Plaintext
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import scala.sys.process._
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name := "ScalNet"
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version := "1.0.0-SNAPSHOT"
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description := "A Scala wrapper for Deeplearning4j, inspired by Keras. Scala + DL + Spark + GPUs"
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scalaVersion := "2.11.12"
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resolvers in ThisBuild ++= Seq(
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Resolver.sonatypeRepo("snapshots")
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)
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cleanFiles += baseDirectory.value / "lib"
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val mvnInstall = Seq("mvn", "install", "-q", "-f", "sbt-pom.xml")
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val operatingSystem = sys.props("os.name").toLowerCase.substring(0, 3)
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update := {
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operatingSystem match {
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case "win" => { Seq("cmd", "/C") ++ mvnInstall !; update.value }
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case _ => { mvnInstall !; update.value }
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}
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}
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libraryDependencies ++= {
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val dl4j = "1.0.0-SNAPSHOT"
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val logback = "1.2.3"
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val scalaCheck = "1.13.5"
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val scalaTest = "3.0.5"
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Seq(
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"org.deeplearning4j" % "deeplearning4j-core" % dl4j,
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"org.slf4j" % "slf4j-api" % "1.7.25",
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"ch.qos.logback" % "logback-classic" % logback,
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"org.nd4j" % "nd4j-native" % dl4j % "test",
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"org.scalacheck" %% "scalacheck" % scalaCheck % "test",
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"org.scalatest" %% "scalatest" % scalaTest % "test"
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)
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}
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scalacOptions in ThisBuild ++= Seq("-language:postfixOps",
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"-language:implicitConversions",
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"-language:existentials",
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"-feature",
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"-deprecation")
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lazy val standardSettings = Seq(
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organization := "org.deeplearning4j",
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organizationName := "Skymind",
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startYear := Some(2016),
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licenses += ("Apache-2.0", url("http://www.apache.org/licenses/LICENSE-2.0.html")),
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homepage := Some(url("https://github.com/deeplearning4j/ScalNet")),
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crossScalaVersions := Seq("2.11.12", "2.10.7"),
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scalacOptions ++= Seq(
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"-encoding",
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"UTF-8",
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"-Xlint",
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"-deprecation",
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"-Xfatal-warnings",
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"-feature",
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"-language:postfixOps",
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"-unchecked"
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)
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)
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parallelExecution in Test := false
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scalafmtOnCompile in ThisBuild := true
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scalafmtTestOnCompile in ThisBuild := true
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test in assembly := {}
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assemblyMergeStrategy in assembly := {
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case PathList("META-INF", xs @ _*) => MergeStrategy.discard
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case x => MergeStrategy.first
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}
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lazy val root = (project in file("."))
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.enablePlugins(AutomateHeaderPlugin)
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.settings(standardSettings)
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.settings(
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name := "ScalNet",
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fork := true
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)
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