diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/TensorAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/TensorAlgebra.kt
index 5b7515b20..d7c6eaefd 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/TensorAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/TensorAlgebra.kt
@@ -1,29 +1,10 @@
 package space.kscience.kmath.tensors
 
-import space.kscience.kmath.tensors.core.DoubleTensor
-
 // https://proofwiki.org/wiki/Definition:Algebra_over_Ring
 public interface TensorAlgebra<T, TensorType : TensorStructure<T>> {
 
     public fun TensorType.value(): T
 
-    //https://pytorch.org/docs/stable/generated/torch.full.html
-    public fun full(value: T, shape: IntArray): TensorType
-
-    public fun ones(shape: IntArray): TensorType
-    public fun zeros(shape: IntArray): TensorType
-
-    //https://pytorch.org/docs/stable/generated/torch.full_like.html#torch.full_like
-    public fun TensorType.fullLike(value: T): TensorType
-
-    public fun TensorType.zeroesLike(): TensorType
-    public fun TensorType.onesLike(): TensorType
-
-    //https://pytorch.org/docs/stable/generated/torch.eye.html
-    public fun eye(n: Int): TensorType
-
-    public fun TensorType.copy(): TensorType
-
     public operator fun T.plus(other: TensorType): TensorType
     public operator fun TensorType.plus(value: T): TensorType
     public operator fun TensorType.plus(other: TensorType): TensorType
@@ -53,8 +34,6 @@ public interface TensorAlgebra<T, TensorType : TensorStructure<T>> {
     public fun TensorType.view(shape: IntArray): TensorType
     public fun TensorType.viewAs(other: TensorType): TensorType
 
-    public fun TensorType.eq(other: TensorType, delta: T): Boolean
-
     //https://pytorch.org/docs/stable/generated/torch.matmul.html
     public infix fun TensorType.dot(other: TensorType): TensorType
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/TensorPartialDivisionAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/TensorPartialDivisionAlgebra.kt
index 67b9c9d73..0b9079967 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/TensorPartialDivisionAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/TensorPartialDivisionAlgebra.kt
@@ -2,7 +2,7 @@ package space.kscience.kmath.tensors
 
 // https://proofwiki.org/wiki/Definition:Division_Algebra
 public interface TensorPartialDivisionAlgebra<T, TensorType : TensorStructure<T>> :
-    TensorAlgebra<T, TensorType> {
+        TensorAlgebra<T, TensorType> {
     public operator fun TensorType.div(value: T): TensorType
     public operator fun TensorType.div(other: TensorType): TensorType
     public operator fun TensorType.divAssign(value: T)
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index 965aef1ea..323ade45d 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -27,27 +27,27 @@ public open class DoubleTensorAlgebra : TensorPartialDivisionAlgebra<Double, Dou
         return DoubleTensor(newShape, this.buffer.array(), newStart)
     }
 
-    override fun full(value: Double, shape: IntArray): DoubleTensor {
+    public fun full(value: Double, shape: IntArray): DoubleTensor {
         checkEmptyShape(shape)
         val buffer = DoubleArray(shape.reduce(Int::times)) { value }
         return DoubleTensor(shape, buffer)
     }
 
-    override fun DoubleTensor.fullLike(value: Double): DoubleTensor {
+    public fun DoubleTensor.fullLike(value: Double): DoubleTensor {
         val shape = this.shape
         val buffer = DoubleArray(this.linearStructure.size) { value }
         return DoubleTensor(shape, buffer)
     }
 
-    override fun zeros(shape: IntArray): DoubleTensor = full(0.0, shape)
+    public fun zeros(shape: IntArray): DoubleTensor = full(0.0, shape)
 
-    override fun DoubleTensor.zeroesLike(): DoubleTensor = this.fullLike(0.0)
+    public fun DoubleTensor.zeroesLike(): DoubleTensor = this.fullLike(0.0)
 
-    override fun ones(shape: IntArray): DoubleTensor = full(1.0, shape)
+    public fun ones(shape: IntArray): DoubleTensor = full(1.0, shape)
 
-    override fun DoubleTensor.onesLike(): DoubleTensor = this.fullLike(1.0)
+    public fun DoubleTensor.onesLike(): DoubleTensor = this.fullLike(1.0)
 
-    override fun eye(n: Int): DoubleTensor {
+    public fun eye(n: Int): DoubleTensor {
         val shape = intArrayOf(n, n)
         val buffer = DoubleArray(n * n) { 0.0 }
         val res = DoubleTensor(shape, buffer)
@@ -57,7 +57,7 @@ public open class DoubleTensorAlgebra : TensorPartialDivisionAlgebra<Double, Dou
         return res
     }
 
-    override fun DoubleTensor.copy(): DoubleTensor {
+    public fun DoubleTensor.copy(): DoubleTensor {
         return DoubleTensor(this.shape, this.buffer.array().copyOf(), this.bufferStart)
     }
 
@@ -299,7 +299,7 @@ public open class DoubleTensorAlgebra : TensorPartialDivisionAlgebra<Double, Dou
         return this.contentEquals(other) { x, y -> abs(x - y) < delta }
     }
 
-    override fun DoubleTensor.eq(other: DoubleTensor, delta: Double): Boolean {
+    public fun DoubleTensor.eq(other: DoubleTensor, delta: Double): Boolean {
         return this.eq(other) { x, y -> abs(x - y) < delta }
     }
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/utils.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/utils.kt
index 591ebb89c..33e78db33 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/utils.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/core/utils.kt
@@ -1,7 +1,8 @@
 package space.kscience.kmath.tensors.core
 
 import space.kscience.kmath.structures.*
-
+import kotlin.random.Random
+import kotlin.math.*
 
 /**
  * Returns a reference to [IntArray] containing all of the elements of this [Buffer].
@@ -34,3 +35,8 @@ internal fun Buffer<Double>.array(): DoubleArray = when (this) {
     is DoubleBuffer -> array
     else -> throw RuntimeException("Failed to cast Buffer to DoubleArray")
 }
+
+internal inline fun getRandomNormals(n: Int, seed: Long): DoubleArray {
+    val u = Random(seed)
+    return (0 until n).map { sqrt(-2.0 * u.nextDouble()) * cos(2.0 * PI * u.nextDouble()) }.toDoubleArray()
+}