Remove ND4j

benchmarks/build.gradle.kts

@@ -60,13 +60,14 @@ kotlin {
             dependencies {
                 implementation(projects.kmathCommons)
                 implementation(projects.kmathEjml)
-                implementation(projects.kmathNd4j)
                 implementation(projects.kmathKotlingrad)
                 implementation(projects.kmathViktor)
                 implementation(projects.kmathOjalgo)
                 implementation(projects.kmath.kmathTensorflow)
                 implementation(projects.kmathMultik)
                 implementation(libs.tensorflow.core.platform)
+//                implementation(projects.kmathNd4j)
+
 //                implementation(libs.nd4j.native.platform)
                 //    uncomment if your system supports AVX2
                 //    val os = System.getProperty("os.name")

benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt

@@ -15,7 +15,6 @@ import org.jetbrains.kotlinx.multik.ndarray.data.DN
 import org.jetbrains.kotlinx.multik.ndarray.data.DataType
 import space.kscience.kmath.UnsafeKMathAPI
 import space.kscience.kmath.nd.*
-import space.kscience.kmath.nd4j.nd4j
 import space.kscience.kmath.operations.Float64Field
 import space.kscience.kmath.structures.Float64
 import space.kscience.kmath.tensors.core.DoubleTensor
@@ -32,7 +31,6 @@ internal class NDFieldBenchmark {
         private val shape = ShapeND(dim, dim)
         private val specializedField = Float64Field.ndAlgebra
         private val genericField = BufferedFieldOpsND(Float64Field)
-        private val nd4jField = Float64Field.nd4j
         private val viktorField = Float64Field.viktorAlgebra
     }
 

examples/build.gradle.kts

@@ -23,7 +23,6 @@ dependencies {
     implementation(project(":kmath-viktor"))
     implementation(project(":kmath-dimensions"))
     implementation(project(":kmath-ejml"))
-    implementation(project(":kmath-nd4j"))
     implementation(project(":kmath-tensors"))
     implementation(project(":kmath-symja"))
     implementation(project(":kmath-for-real"))
@@ -32,9 +31,10 @@ dependencies {
     implementation(libs.multik.default)
 
     //datetime
-    implementation("org.jetbrains.kotlinx:kotlinx-datetime:0.4.0")
+    implementation(spclibs.kotlinx.datetime)
 
-    implementation("org.nd4j:nd4j-native:1.0.0-beta7")
+//    implementation(project(":kmath-nd4j"))
+//    implementation("org.nd4j:nd4j-native:1.0.0-beta7")
 
 //    uncomment if your system supports AVX2
 //    val os = System.getProperty("os.name")
@@ -44,7 +44,7 @@ dependencies {
 //        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.nd4j:nd4j-native-platform:1.0.0-beta7")
 
     implementation("org.slf4j:slf4j-simple:1.7.32")
     // plotting

examples/src/main/kotlin/space/kscience/kmath/structures/NDField.kt

@@ -7,9 +7,7 @@ package space.kscience.kmath.structures
 
 import kotlinx.coroutines.DelicateCoroutinesApi
 import kotlinx.coroutines.GlobalScope
-import org.nd4j.linalg.factory.Nd4j
 import space.kscience.kmath.nd.*
-import space.kscience.kmath.nd4j.nd4j
 import space.kscience.kmath.operations.Float64Field
 import space.kscience.kmath.operations.invoke
 import space.kscience.kmath.viktor.ViktorFieldND
@@ -26,7 +24,6 @@ internal inline fun measureAndPrint(title: String, block: () -> Unit) {
 @OptIn(DelicateCoroutinesApi::class)
 fun main() {
     // initializing Nd4j
-    Nd4j.zeros(0)
     val dim = 1000
     val n = 1000
     val shape = ShapeND(dim, dim)
@@ -36,8 +33,6 @@ fun main() {
     val doubleField = Float64Field.ndAlgebra
     //A generic field. It should be used for objects, not primitives.
     val genericField = BufferedFieldOpsND(Float64Field)
-    // Nd4j specialized field.
-    val nd4jField = Float64Field.nd4j
     //viktor field
     val viktorField = ViktorFieldND(dim, dim)
     //parallel processing based on Java Streams
@@ -57,13 +52,6 @@ fun main() {
         }
     }
 
-    measureAndPrint("Nd4j specialized addition") {
-        nd4jField {
-            var res: StructureND<Float64> = one(shape)
-            repeat(n) { res += 1.0 }
-        }
-    }
-
     measureAndPrint("Viktor addition") {
         viktorField {
             var res: StructureND<Float64> = one

settings.gradle.kts

@@ -50,7 +50,7 @@ include(
     ":kmath-tensorflow",
     ":kmath-optimization",
     ":kmath-stat",
-    ":kmath-nd4j",
+//    ":kmath-nd4j",
     ":kmath-dimensions",
     ":kmath-for-real",
     ":kmath-geometry",