tensors implementation
This commit is contained in:
Roland Grinis
parent
78b1cd41da
commit
40d8a05bb0
@ -33,5 +33,186 @@ class JNoa {
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public static native void disposeTensor(long tensorHandle);
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}
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public static native long fromBlobDouble(double[] data, int[] shape, int device);
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public static native long fromBlobFloat(float[] data, int[] shape, int device);
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public static native long fromBlobLong(long[] data, int[] shape, int device);
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public static native long fromBlobInt(int[] data, int[] shape, int device);
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public static native long copyTensor(long tensorHandle);
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public static native long copyToDevice(long tensorHandle, int device);
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public static native long copyToDouble(long tensorHandle);
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public static native long copyToFloat(long tensorHandle);
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public static native long copyToLong(long tensorHandle);
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public static native long copyToInt(long tensorHandle);
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public static native long viewTensor(long tensorHandle, int[] shape);
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public static native String tensorToString(long tensorHandle);
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public static native int getDim(long tensorHandle);
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public static native int getNumel(long tensorHandle);
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public static native int getShapeAt(long tensorHandle, int d);
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public static native int getStrideAt(long tensorHandle, int d);
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public static native int getDevice(long tensorHandle);
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public static native double getItemDouble(long tensorHandle);
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public static native float getItemFloat(long tensorHandle);
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public static native long getItemLong(long tensorHandle);
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public static native int getItemInt(long tensorHandle);
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public static native double getDouble(long tensorHandle, int[] index);
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public static native float getFloat(long tensorHandle, int[] index);
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public static native long getLong(long tensorHandle, int[] index);
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public static native int getInt(long tensorHandle, int[] index);
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public static native void setDouble(long tensorHandle, int[] index, double value);
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public static native void setFloat(long tensorHandle, int[] index, float value);
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public static native void setLong(long tensorHandle, int[] index, long value);
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public static native void setInt(long tensorHandle, int[] index, int value);
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public static native long randDouble(int[] shape, int device);
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public static native long randnDouble(int[] shape, int device);
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public static native long randFloat(int[] shape, int device);
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public static native long randnFloat(int[] shape, int device);
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public static native long randintLong(long low, long high, int[] shape, int device);
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public static native long randintInt(long low, long high, int[] shape, int device);
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public static native long randLike(long tensorHandle);
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public static native void randLikeAssign(long tensorHandle);
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public static native long randnLike(long tensorHandle);
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public static native void randnLikeAssign(long tensorHandle);
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public static native long randintLike(long tensorHandle, long low, long high);
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public static native void randintLikeAssign(long tensorHandle, long low, long high);
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public static native long fullDouble(double value, int[] shape, int device);
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public static native long fullFloat(float value, int[] shape, int device);
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public static native long fullLong(long value, int[] shape, int device);
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public static native long fullInt(int value, int[] shape, int device);
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public static native long timesDouble(double value, long other);
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public static native long timesFloat(float value, long other);
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public static native long timesLong(long value, long other);
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public static native long timesInt(int value, long other);
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public static native void timesDoubleAssign(double value, long other);
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public static native void timesFloatAssign(float value, long other);
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public static native void timesLongAssign(long value, long other);
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public static native void timesIntAssign(int value, long other);
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public static native long plusDouble(double value, long other);
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public static native long plusFloat(float value, long other);
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public static native long plusLong(long value, long other);
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public static native long plusInt(int value, long other);
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public static native void plusDoubleAssign(double value, long other);
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public static native void plusFloatAssign(float value, long other);
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public static native void plusLongAssign(long value, long other);
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public static native void plusIntAssign(int value, long other);
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public static native long timesTensor(long lhs, long rhs);
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public static native void timesTensorAssign(long lhs, long rhs);
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public static native long divTensor(long lhs, long rhs);
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public static native void divTensorAssign(long lhs, long rhs);
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public static native long plusTensor(long lhs, long rhs);
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public static native void plusTensorAssign(long lhs, long rhs);
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public static native long minusTensor(long lhs, long rhs);
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public static native void minusTensorAssign(long lhs, long rhs);
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public static native long unaryMinus(long tensorHandle);
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public static native long absTensor(long tensorHandle);
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public static native void absTensorAssign(long tensorHandle);
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public static native long transposeTensor(long tensorHandle, int i, int j);
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public static native void transposeTensorAssign(long tensorHandle, int i, int j);
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public static native long expTensor(long tensorHandle);
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public static native void expTensorAssign(long tensorHandle);
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public static native long logTensor(long tensorHandle);
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public static native void logTensorAssign(long tensorHandle);
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public static native long sumTensor(long tensorHandle);
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public static native void sumTensorAssign(long tensorHandle);
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public static native long matmul(long lhs, long rhs);
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public static native void matmulAssign(long lhs, long rhs);
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public static native void matmulRightAssign(long lhs, long rhs);
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public static native long diagEmbed(long diagsHandle, int offset, int dim1, int dim2);
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public static native void svdTensor(long tensorHandle, long Uhandle, long Shandle, long Vhandle);
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public static native void symeigTensor(long tensorHandle, long Shandle, long Vhandle, boolean eigenvectors);
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public static native boolean requiresGrad(long tensorHandle);
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public static native void setRequiresGrad(long tensorHandle, boolean status);
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public static native long detachFromGraph(long tensorHandle);
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public static native long autogradTensor(long value, long variable, boolean retainGraph);
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public static native long autohessTensor(long value, long variable);
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}
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@ -5,4 +5,24 @@
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package space.kscience.kmath.noa
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public sealed class NoaAlgebra<T>{}
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import space.kscience.kmath.noa.memory.NoaScope
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import space.kscience.kmath.tensors.api.AnalyticTensorAlgebra
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import space.kscience.kmath.tensors.api.LinearOpsTensorAlgebra
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import space.kscience.kmath.tensors.api.Tensor
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import space.kscience.kmath.tensors.api.TensorAlgebra
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public abstract class NoaAlgebra<T, TensorType: NoaTensor<T>>
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internal constructor(protected val scope: NoaScope)
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: TensorAlgebra<T> {
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protected abstract fun Tensor<T>.cast(): TensorType
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}
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public abstract class NoaPartialDivisionAlgebra<T, TensorType: NoaTensor<T>>
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internal constructor(scope: NoaScope)
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: NoaAlgebra<T, TensorType>(scope), LinearOpsTensorAlgebra<T>, AnalyticTensorAlgebra<T> {
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}
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@ -6,7 +6,7 @@
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package space.kscience.kmath.noa.memory
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public abstract class NoaResource
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internal constructor(scope: NoaScope) {
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internal constructor(internal val scope: NoaScope) {
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init {
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scope.add(::dispose)
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}
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@ -26,7 +26,7 @@ public class NoaScope {
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}
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}
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internal inline fun <R> withNoaScope(i: Int, block: NoaScope.() -> R): R {
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internal inline fun <R> withNoaScope(block: NoaScope.() -> R): R {
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val noaScope = NoaScope()
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val result = noaScope.block()
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noaScope.disposeAll()
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@ -5,19 +5,159 @@
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package space.kscience.kmath.noa
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import space.kscience.kmath.misc.PerformancePitfall
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import space.kscience.kmath.noa.memory.NoaResource
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import space.kscience.kmath.noa.memory.NoaScope
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import space.kscience.kmath.tensors.api.Tensor
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import space.kscience.kmath.tensors.core.TensorLinearStructure
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internal typealias TensorHandle = Long
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public sealed class NoaTensor<T>
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constructor(scope: NoaScope, internal val tensorHandle: TensorHandle) :
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NoaResource(scope){
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NoaResource(scope), Tensor<T> {
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override fun dispose(): Unit = JNoa.disposeTensor(tensorHandle)
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override val dimension: Int get() = JNoa.getDim(tensorHandle)
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override val shape: IntArray
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get() = (1..dimension).map { JNoa.getShapeAt(tensorHandle, it - 1) }.toIntArray()
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public val strides: IntArray
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get() = (1..dimension).map { JNoa.getStrideAt(tensorHandle, it - 1) }.toIntArray()
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public val numElements: Int get() = JNoa.getNumel(tensorHandle)
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public val device: Device get() = Device.fromInt(JNoa.getDevice(tensorHandle))
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override fun toString(): String = JNoa.tensorToString(tensorHandle)
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@PerformancePitfall
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override fun elements(): Sequence<Pair<IntArray, T>> {
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if (dimension == 0) {
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return emptySequence()
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}
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val indices = (1..numElements).asSequence().map {
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TensorLinearStructure.indexFromOffset(it - 1, strides, dimension)
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}
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return indices.map { it to get(it) }
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}
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public fun copyToDouble(): NoaDoubleTensor = NoaDoubleTensor(
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scope = scope,
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tensorHandle = JNoa.copyToDouble(this.tensorHandle)
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)
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/*
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public fun copyToFloat(): TorchTensorFloat = TorchTensorFloat(
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scope = scope,
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tensorHandle = JTorch.copyToFloat(this.tensorHandle)
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)
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public fun copyToLong(): TorchTensorLong = TorchTensorLong(
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scope = scope,
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tensorHandle = JTorch.copyToLong(this.tensorHandle)
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)
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public fun copyToInt(): TorchTensorInt = TorchTensorInt(
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scope = scope,
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tensorHandle = JTorch.copyToInt(this.tensorHandle)
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)*/
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}
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public sealed class NoaTensorOverField<T>
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constructor(scope: NoaScope, tensorHandle: Long) :
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NoaTensor<T>(scope, tensorHandle) {
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public var requiresGrad: Boolean
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get() = JNoa.requiresGrad(tensorHandle)
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set(value) = JNoa.setRequiresGrad(tensorHandle, value)
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}
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public class NoaDoubleTensor
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internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
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NoaTensor<Double>(scope, tensorHandle)
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NoaTensorOverField<Double>(scope, tensorHandle) {
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internal fun item(): Double = JNoa.getItemDouble(tensorHandle)
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@PerformancePitfall
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override fun get(index: IntArray): Double = JNoa.getDouble(tensorHandle, index)
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@PerformancePitfall
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override fun set(index: IntArray, value: Double) {
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JNoa.setDouble(tensorHandle, index, value)
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}
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}
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public class NoaFloatTensor
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internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
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NoaTensorOverField<Float>(scope, tensorHandle) {
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internal fun item(): Float = JNoa.getItemFloat(tensorHandle)
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@PerformancePitfall
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override fun get(index: IntArray): Float = JNoa.getFloat(tensorHandle, index)
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@PerformancePitfall
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override fun set(index: IntArray, value: Float) {
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JNoa.setFloat(tensorHandle, index, value)
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}
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}
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public class NoaLongTensor
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internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
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NoaTensor<Long>(scope, tensorHandle) {
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internal fun item(): Long = JNoa.getItemLong(tensorHandle)
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@PerformancePitfall
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override fun get(index: IntArray): Long = JNoa.getLong(tensorHandle, index)
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@PerformancePitfall
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override fun set(index: IntArray, value: Long) {
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JNoa.setLong(tensorHandle, index, value)
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}
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}
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public class NoaIntTensor
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internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
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NoaTensor<Int>(scope, tensorHandle) {
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internal fun item(): Int = JNoa.getItemInt(tensorHandle)
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@PerformancePitfall
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override fun get(index: IntArray): Int = JNoa.getInt(tensorHandle, index)
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@PerformancePitfall
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override fun set(index: IntArray, value: Int) {
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JNoa.setInt(tensorHandle, index, value)
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}
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}
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public sealed class Device {
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public object CPU : Device() {
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override fun toString(): String {
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return "CPU"
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}
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}
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public data class CUDA(val index: Int) : Device()
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public fun toInt(): Int {
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when (this) {
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is CPU -> return 0
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is CUDA -> return this.index + 1
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}
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}
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public companion object {
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public fun fromInt(deviceInt: Int): Device {
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return if (deviceInt == 0) CPU else CUDA(
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deviceInt - 1
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)
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}
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}
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}
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@ -55,6 +55,734 @@ JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_setSeed
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JNIEXPORT void JNICALL Java_space_kscience_kmath_noa_JNoa_disposeTensor
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(JNIEnv *, jclass, jlong);
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/*
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* Class: space_kscience_kmath_noa_JNoa
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* Method: fromBlobDouble
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* Signature: ([D[II)J
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*/
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JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_fromBlobDouble
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(JNIEnv *, jclass, jdoubleArray, jintArray, jint);
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/*
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* Class: space_kscience_kmath_noa_JNoa
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* Method: fromBlobFloat
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* Signature: ([F[II)J
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*/
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JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_fromBlobFloat
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(JNIEnv *, jclass, jfloatArray, jintArray, jint);
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/*
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* Class: space_kscience_kmath_noa_JNoa
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* Method: fromBlobLong
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* Signature: ([J[II)J
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*/
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JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_fromBlobLong
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(JNIEnv *, jclass, jlongArray, jintArray, jint);
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/*
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* Class: space_kscience_kmath_noa_JNoa
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* Method: fromBlobInt
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* Signature: ([I[II)J
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*/
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JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_fromBlobInt
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(JNIEnv *, jclass, jintArray, jintArray, jint);
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/*
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* Class: space_kscience_kmath_noa_JNoa
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* Method: copyTensor
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* Signature: (J)J
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*/
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JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_copyTensor
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(JNIEnv *, jclass, jlong);
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/*
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* Class: space_kscience_kmath_noa_JNoa
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* Method: copyToDevice
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* Signature: (JI)J
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*/
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JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_copyToDevice
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(JNIEnv *, jclass, jlong, jint);
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/*
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* Class: space_kscience_kmath_noa_JNoa
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* Method: copyToDouble
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* Signature: (J)J
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*/
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JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_copyToDouble
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(JNIEnv *, jclass, jlong);
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/*
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* Class: space_kscience_kmath_noa_JNoa
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* Method: copyToFloat
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* Signature: (J)J
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*/
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JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_copyToFloat
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(JNIEnv *, jclass, jlong);
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/*
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* Class: space_kscience_kmath_noa_JNoa
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* Method: copyToLong
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* Signature: (J)J
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*/
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JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_copyToLong
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(JNIEnv *, jclass, jlong);
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/*
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* Class: space_kscience_kmath_noa_JNoa
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* Method: copyToInt
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* Signature: (J)J
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*/
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JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_copyToInt
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(JNIEnv *, jclass, jlong);
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/*
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* Class: space_kscience_kmath_noa_JNoa
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* Method: viewTensor
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* Signature: (J[I)J
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*/
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JNIEXPORT jlong JNICALL Java_space_kscience_kmath_noa_JNoa_viewTensor
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(JNIEnv *, jclass, jlong, jintArray);
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/*
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* Class: space_kscience_kmath_noa_JNoa
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* Method: tensorToString
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* Signature: (J)Ljava/lang/String;
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*/
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JNIEXPORT jstring JNICALL Java_space_kscience_kmath_noa_JNoa_tensorToString
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(JNIEnv *, jclass, jlong);
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||||
|
||||
/*
|
||||
* 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
|
||||
|
||||
@ -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
|
||||
|
||||
|
||||
@ -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]
|
||||
|
||||
@ -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
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
@ -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)
|
||||
|
||||
}
|
||||
@ -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)
|
||||
|
||||
Loading…
Reference in New Issue
Block a user