diff --git a/kmath-noa/src/main/java/space/kscience/kmath/noa/JNoa.java b/kmath-noa/src/main/java/space/kscience/kmath/noa/JNoa.java
index c75d385e7..934762a1a 100644
--- a/kmath-noa/src/main/java/space/kscience/kmath/noa/JNoa.java
+++ b/kmath-noa/src/main/java/space/kscience/kmath/noa/JNoa.java
@@ -33,5 +33,186 @@ class JNoa {
 
     public static native void disposeTensor(long tensorHandle);
 
-}
+    public static native long fromBlobDouble(double[] data, int[] shape, int device);
 
+    public static native long fromBlobFloat(float[] data, int[] shape, int device);
+
+    public static native long fromBlobLong(long[] data, int[] shape, int device);
+
+    public static native long fromBlobInt(int[] data, int[] shape, int device);
+
+    public static native long copyTensor(long tensorHandle);
+
+    public static native long copyToDevice(long tensorHandle, int device);
+
+    public static native long copyToDouble(long tensorHandle);
+
+    public static native long copyToFloat(long tensorHandle);
+
+    public static native long copyToLong(long tensorHandle);
+
+    public static native long copyToInt(long tensorHandle);
+
+    public static native long viewTensor(long tensorHandle, int[] shape);
+
+    public static native String tensorToString(long tensorHandle);
+
+    public static native int getDim(long tensorHandle);
+
+    public static native int getNumel(long tensorHandle);
+
+    public static native int getShapeAt(long tensorHandle, int d);
+
+    public static native int getStrideAt(long tensorHandle, int d);
+
+    public static native int getDevice(long tensorHandle);
+
+    public static native double getItemDouble(long tensorHandle);
+
+    public static native float getItemFloat(long tensorHandle);
+
+    public static native long getItemLong(long tensorHandle);
+
+    public static native int getItemInt(long tensorHandle);
+
+    public static native double getDouble(long tensorHandle, int[] index);
+
+    public static native float getFloat(long tensorHandle, int[] index);
+
+    public static native long getLong(long tensorHandle, int[] index);
+
+    public static native int getInt(long tensorHandle, int[] index);
+
+    public static native void setDouble(long tensorHandle, int[] index, double value);
+
+    public static native void setFloat(long tensorHandle, int[] index, float value);
+
+    public static native void setLong(long tensorHandle, int[] index, long value);
+
+    public static native void setInt(long tensorHandle, int[] index, int value);
+
+    public static native long randDouble(int[] shape, int device);
+
+    public static native long randnDouble(int[] shape, int device);
+
+    public static native long randFloat(int[] shape, int device);
+
+    public static native long randnFloat(int[] shape, int device);
+
+    public static native long randintLong(long low, long high, int[] shape, int device);
+
+    public static native long randintInt(long low, long high, int[] shape, int device);
+
+    public static native long randLike(long tensorHandle);
+
+    public static native void randLikeAssign(long tensorHandle);
+
+    public static native long randnLike(long tensorHandle);
+
+    public static native void randnLikeAssign(long tensorHandle);
+
+    public static native long randintLike(long tensorHandle, long low, long high);
+
+    public static native void randintLikeAssign(long tensorHandle, long low, long high);
+
+    public static native long fullDouble(double value, int[] shape, int device);
+
+    public static native long fullFloat(float value, int[] shape, int device);
+
+    public static native long fullLong(long value, int[] shape, int device);
+
+    public static native long fullInt(int value, int[] shape, int device);
+
+    public static native long timesDouble(double value, long other);
+
+    public static native long timesFloat(float value, long other);
+
+    public static native long timesLong(long value, long other);
+
+    public static native long timesInt(int value, long other);
+
+    public static native void timesDoubleAssign(double value, long other);
+
+    public static native void timesFloatAssign(float value, long other);
+
+    public static native void timesLongAssign(long value, long other);
+
+    public static native void timesIntAssign(int value, long other);
+
+    public static native long plusDouble(double value, long other);
+
+    public static native long plusFloat(float value, long other);
+
+    public static native long plusLong(long value, long other);
+
+    public static native long plusInt(int value, long other);
+
+    public static native void plusDoubleAssign(double value, long other);
+
+    public static native void plusFloatAssign(float value, long other);
+
+    public static native void plusLongAssign(long value, long other);
+
+    public static native void plusIntAssign(int value, long other);
+
+    public static native long timesTensor(long lhs, long rhs);
+
+    public static native void timesTensorAssign(long lhs, long rhs);
+
+    public static native long divTensor(long lhs, long rhs);
+
+    public static native void divTensorAssign(long lhs, long rhs);
+
+    public static native long plusTensor(long lhs, long rhs);
+
+    public static native void plusTensorAssign(long lhs, long rhs);
+
+    public static native long minusTensor(long lhs, long rhs);
+
+    public static native void minusTensorAssign(long lhs, long rhs);
+
+    public static native long unaryMinus(long tensorHandle);
+
+    public static native long absTensor(long tensorHandle);
+
+    public static native void absTensorAssign(long tensorHandle);
+
+    public static native long transposeTensor(long tensorHandle, int i, int j);
+
+    public static native void transposeTensorAssign(long tensorHandle, int i, int j);
+
+    public static native long expTensor(long tensorHandle);
+
+    public static native void expTensorAssign(long tensorHandle);
+
+    public static native long logTensor(long tensorHandle);
+
+    public static native void logTensorAssign(long tensorHandle);
+
+    public static native long sumTensor(long tensorHandle);
+
+    public static native void sumTensorAssign(long tensorHandle);
+
+    public static native long matmul(long lhs, long rhs);
+
+    public static native void matmulAssign(long lhs, long rhs);
+
+    public static native void matmulRightAssign(long lhs, long rhs);
+
+    public static native long diagEmbed(long diagsHandle, int offset, int dim1, int dim2);
+
+    public static native void svdTensor(long tensorHandle, long Uhandle, long Shandle, long Vhandle);
+
+    public static native void symeigTensor(long tensorHandle, long Shandle, long Vhandle, boolean eigenvectors);
+
+    public static native boolean requiresGrad(long tensorHandle);
+
+    public static native void setRequiresGrad(long tensorHandle, boolean status);
+
+    public static native long detachFromGraph(long tensorHandle);
+
+    public static native long autogradTensor(long value, long variable, boolean retainGraph);
+
+    public static native long autohessTensor(long value, long variable);
+
+}
diff --git a/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/algebras.kt b/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/algebras.kt
index d36173264..e9c80a465 100644
--- a/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/algebras.kt
+++ b/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/algebras.kt
@@ -5,4 +5,24 @@
 
 package space.kscience.kmath.noa
 
-public sealed class NoaAlgebra<T>{}
\ No newline at end of file
+import space.kscience.kmath.noa.memory.NoaScope
+import space.kscience.kmath.tensors.api.AnalyticTensorAlgebra
+import space.kscience.kmath.tensors.api.LinearOpsTensorAlgebra
+import space.kscience.kmath.tensors.api.Tensor
+import space.kscience.kmath.tensors.api.TensorAlgebra
+
+public abstract class NoaAlgebra<T, TensorType: NoaTensor<T>>
+internal constructor(protected val scope: NoaScope)
+    : TensorAlgebra<T>  {
+
+    protected abstract fun Tensor<T>.cast(): TensorType
+}
+
+public abstract class NoaPartialDivisionAlgebra<T, TensorType: NoaTensor<T>>
+internal constructor(scope: NoaScope)
+    : NoaAlgebra<T, TensorType>(scope), LinearOpsTensorAlgebra<T>, AnalyticTensorAlgebra<T> {
+
+
+}
+
+
diff --git a/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/memory/NoaResource.kt b/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/memory/NoaResource.kt
index c4e4e7c6e..454e9f510 100644
--- a/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/memory/NoaResource.kt
+++ b/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/memory/NoaResource.kt
@@ -6,7 +6,7 @@
 package space.kscience.kmath.noa.memory
 
 public abstract class NoaResource
-internal constructor(scope: NoaScope) {
+internal constructor(internal val scope: NoaScope) {
     init {
         scope.add(::dispose)
     }
diff --git a/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/memory/NoaScope.kt b/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/memory/NoaScope.kt
index 26f36b934..a226fb212 100644
--- a/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/memory/NoaScope.kt
+++ b/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/memory/NoaScope.kt
@@ -26,7 +26,7 @@ public class NoaScope {
     }
 }
 
-internal inline fun <R> withNoaScope(i: Int, block: NoaScope.() -> R): R {
+internal inline fun <R> withNoaScope(block: NoaScope.() -> R): R {
     val noaScope = NoaScope()
     val result = noaScope.block()
     noaScope.disposeAll()
diff --git a/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/tensors.kt b/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/tensors.kt
index 1c3287a45..19bc44787 100644
--- a/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/tensors.kt
+++ b/kmath-noa/src/main/kotlin/space/kscience/kmath/noa/tensors.kt
@@ -5,19 +5,159 @@
 
 package space.kscience.kmath.noa
 
+import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.noa.memory.NoaResource
 import space.kscience.kmath.noa.memory.NoaScope
 import space.kscience.kmath.tensors.api.Tensor
+import space.kscience.kmath.tensors.core.TensorLinearStructure
 
 internal typealias TensorHandle = Long
 
 public sealed class NoaTensor<T>
 constructor(scope: NoaScope, internal val tensorHandle: TensorHandle) :
-    NoaResource(scope){
+    NoaResource(scope), Tensor<T> {
 
     override fun dispose(): Unit = JNoa.disposeTensor(tensorHandle)
+
+    override val dimension: Int get() = JNoa.getDim(tensorHandle)
+
+    override val shape: IntArray
+        get() = (1..dimension).map { JNoa.getShapeAt(tensorHandle, it - 1) }.toIntArray()
+
+    public val strides: IntArray
+        get() = (1..dimension).map { JNoa.getStrideAt(tensorHandle, it - 1) }.toIntArray()
+
+    public val numElements: Int get() = JNoa.getNumel(tensorHandle)
+    public val device: Device get() = Device.fromInt(JNoa.getDevice(tensorHandle))
+
+    override fun toString(): String = JNoa.tensorToString(tensorHandle)
+
+    @PerformancePitfall
+    override fun elements(): Sequence<Pair<IntArray, T>> {
+        if (dimension == 0) {
+            return emptySequence()
+        }
+        val indices = (1..numElements).asSequence().map {
+            TensorLinearStructure.indexFromOffset(it - 1, strides, dimension)
+        }
+        return indices.map { it to get(it) }
+    }
+
+
+    public fun copyToDouble(): NoaDoubleTensor = NoaDoubleTensor(
+        scope = scope,
+        tensorHandle = JNoa.copyToDouble(this.tensorHandle)
+    )
+/*
+    public fun copyToFloat(): TorchTensorFloat = TorchTensorFloat(
+        scope = scope,
+        tensorHandle = JTorch.copyToFloat(this.tensorHandle)
+    )
+
+    public fun copyToLong(): TorchTensorLong = TorchTensorLong(
+        scope = scope,
+        tensorHandle = JTorch.copyToLong(this.tensorHandle)
+    )
+
+    public fun copyToInt(): TorchTensorInt = TorchTensorInt(
+        scope = scope,
+        tensorHandle = JTorch.copyToInt(this.tensorHandle)
+    )*/
 }
 
+public sealed class NoaTensorOverField<T>
+constructor(scope: NoaScope, tensorHandle: Long) :
+    NoaTensor<T>(scope, tensorHandle) {
+    public var requiresGrad: Boolean
+        get() = JNoa.requiresGrad(tensorHandle)
+        set(value) = JNoa.setRequiresGrad(tensorHandle, value)
+}
+
+
 public class NoaDoubleTensor
 internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
-        NoaTensor<Double>(scope, tensorHandle)
+    NoaTensorOverField<Double>(scope, tensorHandle) {
+
+    internal fun item(): Double = JNoa.getItemDouble(tensorHandle)
+
+    @PerformancePitfall
+    override fun get(index: IntArray): Double = JNoa.getDouble(tensorHandle, index)
+
+    @PerformancePitfall
+    override fun set(index: IntArray, value: Double) {
+        JNoa.setDouble(tensorHandle, index, value)
+    }
+}
+
+public class NoaFloatTensor
+internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
+    NoaTensorOverField<Float>(scope, tensorHandle) {
+
+    internal fun item(): Float = JNoa.getItemFloat(tensorHandle)
+
+    @PerformancePitfall
+    override fun get(index: IntArray): Float = JNoa.getFloat(tensorHandle, index)
+
+    @PerformancePitfall
+    override fun set(index: IntArray, value: Float) {
+        JNoa.setFloat(tensorHandle, index, value)
+    }
+}
+
+public class NoaLongTensor
+internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
+    NoaTensor<Long>(scope, tensorHandle) {
+
+    internal fun item(): Long = JNoa.getItemLong(tensorHandle)
+
+    @PerformancePitfall
+    override fun get(index: IntArray): Long = JNoa.getLong(tensorHandle, index)
+
+    @PerformancePitfall
+    override fun set(index: IntArray, value: Long) {
+        JNoa.setLong(tensorHandle, index, value)
+    }
+}
+
+public class NoaIntTensor
+internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
+    NoaTensor<Int>(scope, tensorHandle) {
+
+    internal fun item(): Int = JNoa.getItemInt(tensorHandle)
+
+    @PerformancePitfall
+    override fun get(index: IntArray): Int = JNoa.getInt(tensorHandle, index)
+
+    @PerformancePitfall
+    override fun set(index: IntArray, value: Int) {
+        JNoa.setInt(tensorHandle, index, value)
+    }
+}
+
+
+
+
+public sealed class Device {
+    public object CPU : Device() {
+        override fun toString(): String {
+            return "CPU"
+        }
+    }
+
+    public data class CUDA(val index: Int) : Device()
+
+    public fun toInt(): Int {
+        when (this) {
+            is CPU -> return 0
+            is CUDA -> return this.index + 1
+        }
+    }
+
+    public companion object {
+        public fun fromInt(deviceInt: Int): Device {
+            return if (deviceInt == 0) CPU else CUDA(
+                deviceInt - 1
+            )
+        }
+    }
+}
diff --git a/kmath-noa/src/main/resources/space_kscience_kmath_noa_JNoa.h b/kmath-noa/src/main/resources/space_kscience_kmath_noa_JNoa.h
index 33905098f..0353bc24b 100644
--- a/kmath-noa/src/main/resources/space_kscience_kmath_noa_JNoa.h
+++ b/kmath-noa/src/main/resources/space_kscience_kmath_noa_JNoa.h
@@ -55,6 +55,734 @@ JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_setSeed
 JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_disposeTensor
   (JNIEnv *, jclass, jlong);
 
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    fromBlobDouble
+ * Signature: ([D[II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_fromBlobDouble
+  (JNIEnv *, jclass, jdoubleArray, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    fromBlobFloat
+ * Signature: ([F[II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_fromBlobFloat
+  (JNIEnv *, jclass, jfloatArray, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    fromBlobLong
+ * Signature: ([J[II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_fromBlobLong
+  (JNIEnv *, jclass, jlongArray, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    fromBlobInt
+ * Signature: ([I[II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_fromBlobInt
+  (JNIEnv *, jclass, jintArray, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    copyTensor
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_copyTensor
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    copyToDevice
+ * Signature: (JI)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_copyToDevice
+  (JNIEnv *, jclass, jlong, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    copyToDouble
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_copyToDouble
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    copyToFloat
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_copyToFloat
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    copyToLong
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_copyToLong
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    copyToInt
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_copyToInt
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    viewTensor
+ * Signature: (J[I)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_viewTensor
+  (JNIEnv *, jclass, jlong, jintArray);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    tensorToString
+ * Signature: (J)Ljava/lang/String;
+ */
+JNIEXPORT jstring JNICALL Java_space_kscience_kmath_noa_JNoa_tensorToString
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getDim
+ * Signature: (J)I
+ */
+JNIEXPORT jint JNICALL Java_space_kscience_kmath_noa_JNoa_getDim
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getNumel
+ * Signature: (J)I
+ */
+JNIEXPORT jint JNICALL Java_space_kscience_kmath_noa_JNoa_getNumel
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getShapeAt
+ * Signature: (JI)I
+ */
+JNIEXPORT jint JNICALL Java_space_kscience_kmath_noa_JNoa_getShapeAt
+  (JNIEnv *, jclass, jlong, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getStrideAt
+ * Signature: (JI)I
+ */
+JNIEXPORT jint JNICALL Java_space_kscience_kmath_noa_JNoa_getStrideAt
+  (JNIEnv *, jclass, jlong, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getDevice
+ * Signature: (J)I
+ */
+JNIEXPORT jint JNICALL Java_space_kscience_kmath_noa_JNoa_getDevice
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getItemDouble
+ * Signature: (J)D
+ */
+JNIEXPORT jdouble JNICALL Java_space_kscience_kmath_noa_JNoa_getItemDouble
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getItemFloat
+ * Signature: (J)F
+ */
+JNIEXPORT jfloat JNICALL Java_space_kscience_kmath_noa_JNoa_getItemFloat
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getItemLong
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_getItemLong
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getItemInt
+ * Signature: (J)I
+ */
+JNIEXPORT jint JNICALL Java_space_kscience_kmath_noa_JNoa_getItemInt
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getDouble
+ * Signature: (J[I)D
+ */
+JNIEXPORT jdouble JNICALL Java_space_kscience_kmath_noa_JNoa_getDouble
+  (JNIEnv *, jclass, jlong, jintArray);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getFloat
+ * Signature: (J[I)F
+ */
+JNIEXPORT jfloat JNICALL Java_space_kscience_kmath_noa_JNoa_getFloat
+  (JNIEnv *, jclass, jlong, jintArray);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getLong
+ * Signature: (J[I)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_getLong
+  (JNIEnv *, jclass, jlong, jintArray);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    getInt
+ * Signature: (J[I)I
+ */
+JNIEXPORT jint JNICALL Java_space_kscience_kmath_noa_JNoa_getInt
+  (JNIEnv *, jclass, jlong, jintArray);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    setDouble
+ * Signature: (J[ID)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_setDouble
+  (JNIEnv *, jclass, jlong, jintArray, jdouble);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    setFloat
+ * Signature: (J[IF)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_setFloat
+  (JNIEnv *, jclass, jlong, jintArray, jfloat);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    setLong
+ * Signature: (J[IJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_setLong
+  (JNIEnv *, jclass, jlong, jintArray, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    setInt
+ * Signature: (J[II)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_setInt
+  (JNIEnv *, jclass, jlong, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    randDouble
+ * Signature: ([II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_randDouble
+  (JNIEnv *, jclass, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    randnDouble
+ * Signature: ([II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_randnDouble
+  (JNIEnv *, jclass, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    randFloat
+ * Signature: ([II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_randFloat
+  (JNIEnv *, jclass, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    randnFloat
+ * Signature: ([II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_randnFloat
+  (JNIEnv *, jclass, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    randintLong
+ * Signature: (JJ[II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_randintLong
+  (JNIEnv *, jclass, jlong, jlong, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    randintInt
+ * Signature: (JJ[II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_randintInt
+  (JNIEnv *, jclass, jlong, jlong, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    randLike
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_randLike
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    randLikeAssign
+ * Signature: (J)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_randLikeAssign
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    randnLike
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_randnLike
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    randnLikeAssign
+ * Signature: (J)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_randnLikeAssign
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    randintLike
+ * Signature: (JJJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_randintLike
+  (JNIEnv *, jclass, jlong, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    randintLikeAssign
+ * Signature: (JJJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_randintLikeAssign
+  (JNIEnv *, jclass, jlong, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    fullDouble
+ * Signature: (D[II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_fullDouble
+  (JNIEnv *, jclass, jdouble, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    fullFloat
+ * Signature: (F[II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_fullFloat
+  (JNIEnv *, jclass, jfloat, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    fullLong
+ * Signature: (J[II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_fullLong
+  (JNIEnv *, jclass, jlong, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    fullInt
+ * Signature: (I[II)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_fullInt
+  (JNIEnv *, jclass, jint, jintArray, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    timesDouble
+ * Signature: (DJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_timesDouble
+  (JNIEnv *, jclass, jdouble, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    timesFloat
+ * Signature: (FJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_timesFloat
+  (JNIEnv *, jclass, jfloat, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    timesLong
+ * Signature: (JJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_timesLong
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    timesInt
+ * Signature: (IJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_timesInt
+  (JNIEnv *, jclass, jint, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    timesDoubleAssign
+ * Signature: (DJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_timesDoubleAssign
+  (JNIEnv *, jclass, jdouble, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    timesFloatAssign
+ * Signature: (FJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_timesFloatAssign
+  (JNIEnv *, jclass, jfloat, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    timesLongAssign
+ * Signature: (JJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_timesLongAssign
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    timesIntAssign
+ * Signature: (IJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_timesIntAssign
+  (JNIEnv *, jclass, jint, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    plusDouble
+ * Signature: (DJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_plusDouble
+  (JNIEnv *, jclass, jdouble, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    plusFloat
+ * Signature: (FJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_plusFloat
+  (JNIEnv *, jclass, jfloat, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    plusLong
+ * Signature: (JJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_plusLong
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    plusInt
+ * Signature: (IJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_plusInt
+  (JNIEnv *, jclass, jint, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    plusDoubleAssign
+ * Signature: (DJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_plusDoubleAssign
+  (JNIEnv *, jclass, jdouble, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    plusFloatAssign
+ * Signature: (FJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_plusFloatAssign
+  (JNIEnv *, jclass, jfloat, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    plusLongAssign
+ * Signature: (JJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_plusLongAssign
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    plusIntAssign
+ * Signature: (IJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_plusIntAssign
+  (JNIEnv *, jclass, jint, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    timesTensor
+ * Signature: (JJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_timesTensor
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    timesTensorAssign
+ * Signature: (JJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_timesTensorAssign
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    divTensor
+ * Signature: (JJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_divTensor
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    divTensorAssign
+ * Signature: (JJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_divTensorAssign
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    plusTensor
+ * Signature: (JJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_plusTensor
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    plusTensorAssign
+ * Signature: (JJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_plusTensorAssign
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    minusTensor
+ * Signature: (JJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_minusTensor
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    minusTensorAssign
+ * Signature: (JJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_minusTensorAssign
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    unaryMinus
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_unaryMinus
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    absTensor
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_absTensor
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    absTensorAssign
+ * Signature: (J)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_absTensorAssign
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    transposeTensor
+ * Signature: (JII)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_transposeTensor
+  (JNIEnv *, jclass, jlong, jint, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    transposeTensorAssign
+ * Signature: (JII)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_transposeTensorAssign
+  (JNIEnv *, jclass, jlong, jint, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    expTensor
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_expTensor
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    expTensorAssign
+ * Signature: (J)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_expTensorAssign
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    logTensor
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_logTensor
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    logTensorAssign
+ * Signature: (J)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_logTensorAssign
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    sumTensor
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_sumTensor
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    sumTensorAssign
+ * Signature: (J)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_sumTensorAssign
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    matmul
+ * Signature: (JJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_matmul
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    matmulAssign
+ * Signature: (JJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_matmulAssign
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    matmulRightAssign
+ * Signature: (JJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_matmulRightAssign
+  (JNIEnv *, jclass, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    diagEmbed
+ * Signature: (JIII)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_diagEmbed
+  (JNIEnv *, jclass, jlong, jint, jint, jint);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    svdTensor
+ * Signature: (JJJJ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_svdTensor
+  (JNIEnv *, jclass, jlong, jlong, jlong, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    symeigTensor
+ * Signature: (JJJZ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_symeigTensor
+  (JNIEnv *, jclass, jlong, jlong, jlong, jboolean);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    requiresGrad
+ * Signature: (J)Z
+ */
+JNIEXPORT jboolean JNICALL Java_space_kscience_kmath_noa_JNoa_requiresGrad
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    setRequiresGrad
+ * Signature: (JZ)V
+ */
+JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_setRequiresGrad
+  (JNIEnv *, jclass, jlong, jboolean);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    detachFromGraph
+ * Signature: (J)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_detachFromGraph
+  (JNIEnv *, jclass, jlong);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    autogradTensor
+ * Signature: (JJZ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_autogradTensor
+  (JNIEnv *, jclass, jlong, jlong, jboolean);
+
+/*
+ * Class:     space_kscience_kmath_noa_JNoa
+ * Method:    autohessTensor
+ * Signature: (JJ)J
+ */
+JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_autohessTensor
+  (JNIEnv *, jclass, jlong, jlong);
+
 #ifdef __cplusplus
 }
 #endif
diff --git a/kmath-noa/src/test/kotlin/space/kscience/kmath/noa/TestUtils.kt b/kmath-noa/src/test/kotlin/space/kscience/kmath/noa/TestUtils.kt
index 8d597e85e..ff37da3e3 100644
--- a/kmath-noa/src/test/kotlin/space/kscience/kmath/noa/TestUtils.kt
+++ b/kmath-noa/src/test/kotlin/space/kscience/kmath/noa/TestUtils.kt
@@ -5,8 +5,6 @@
 
 package space.kscience.kmath.noa
 
-import space.kscience.kmath.noa.memory.NoaScope
-import space.kscience.kmath.noa.memory.withNoaScope
 import kotlin.test.Test
 import kotlin.test.assertEquals
 
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
index 315dc4505..b78df13d3 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
@@ -4,7 +4,6 @@ import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.nd.Strides
 import space.kscience.kmath.structures.MutableBuffer
 import space.kscience.kmath.tensors.api.Tensor
-import space.kscience.kmath.tensors.core.internal.TensorLinearStructure
 
 /**
  * Represents [Tensor] over a [MutableBuffer] intended to be used through [DoubleTensor] and [IntTensor]
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/TensorLinearStructure.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/TensorLinearStructure.kt
new file mode 100644
index 000000000..7bfa9d3f8
--- /dev/null
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/TensorLinearStructure.kt
@@ -0,0 +1,59 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
+package space.kscience.kmath.tensors.core
+
+import space.kscience.kmath.nd.Strides
+import kotlin.math.max
+
+/**
+ * This [Strides] implementation follows the last dimension first convention
+ * For more information: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.strides.html
+ *
+ * @param shape the shape of the tensor.
+ */
+public class TensorLinearStructure(override val shape: IntArray) : Strides {
+    override val strides: IntArray
+        get() = stridesFromShape(shape)
+
+    override fun index(offset: Int): IntArray =
+        indexFromOffset(offset, strides, shape.size)
+
+    override val linearSize: Int
+        get() = shape.reduce(Int::times)
+
+    public companion object {
+
+        public fun stridesFromShape(shape: IntArray): IntArray {
+            val nDim = shape.size
+            val res = IntArray(nDim)
+            if (nDim == 0)
+                return res
+
+            var current = nDim - 1
+            res[current] = 1
+
+            while (current > 0) {
+                res[current - 1] = max(1, shape[current]) * res[current]
+                current--
+            }
+            return res
+        }
+
+        public fun indexFromOffset(offset: Int, strides: IntArray, nDim: Int): IntArray {
+            val res = IntArray(nDim)
+            var current = offset
+            var strideIndex = 0
+
+            while (strideIndex < nDim) {
+                res[strideIndex] = (current / strides[strideIndex])
+                current %= strides[strideIndex]
+                strideIndex++
+            }
+            return res
+        }
+    }
+
+}
\ No newline at end of file
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/TensorLinearStructure.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/TensorLinearStructure.kt
deleted file mode 100644
index 4bdd987db..000000000
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/TensorLinearStructure.kt
+++ /dev/null
@@ -1,57 +0,0 @@
-/*
- * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
- */
-
-package space.kscience.kmath.tensors.core.internal
-
-import space.kscience.kmath.nd.Strides
-import kotlin.math.max
-
-
-internal fun stridesFromShape(shape: IntArray): IntArray {
-    val nDim = shape.size
-    val res = IntArray(nDim)
-    if (nDim == 0)
-        return res
-
-    var current = nDim - 1
-    res[current] = 1
-
-    while (current > 0) {
-        res[current - 1] = max(1, shape[current]) * res[current]
-        current--
-    }
-    return res
-}
-
-internal fun indexFromOffset(offset: Int, strides: IntArray, nDim: Int): IntArray {
-    val res = IntArray(nDim)
-    var current = offset
-    var strideIndex = 0
-
-    while (strideIndex < nDim) {
-        res[strideIndex] = (current / strides[strideIndex])
-        current %= strides[strideIndex]
-        strideIndex++
-    }
-    return res
-}
-
-/**
- * This [Strides] implementation follows the last dimension first convention
- * For more information: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.strides.html
- *
- * @param shape the shape of the tensor.
- */
-internal class TensorLinearStructure(override val shape: IntArray) : Strides {
-    override val strides: IntArray
-        get() = stridesFromShape(shape)
-
-    override fun index(offset: Int): IntArray =
-        indexFromOffset(offset, strides, shape.size)
-
-    override val linearSize: Int
-        get() = shape.reduce(Int::times)
-
-}
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
index d965b6bcd..0da036735 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
@@ -11,6 +11,7 @@ import space.kscience.kmath.tensors.api.Tensor
 import space.kscience.kmath.tensors.core.BufferedTensor
 import space.kscience.kmath.tensors.core.DoubleTensor
 import space.kscience.kmath.tensors.core.IntTensor
+import space.kscience.kmath.tensors.core.TensorLinearStructure
 
 internal fun BufferedTensor<Int>.asTensor(): IntTensor =
     IntTensor(this.shape, this.mutableBuffer.array(), this.bufferStart)