value method for algebra
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@ -11,16 +11,26 @@ 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.Tensor
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import space.kscience.kmath.tensors.api.TensorAlgebra
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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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public sealed class NoaAlgebra<T, TensorType : NoaTensor<T>>
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: TensorAlgebra<T> {
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constructor(protected val scope: NoaScope) : TensorAlgebra<T> {
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protected abstract fun Tensor<T>.cast(): TensorType
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protected abstract fun Tensor<T>.cast(): TensorType
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protected abstract fun wrap(tensorHandle: TensorHandle): TensorType
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/**
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* A scalar tensor in this implementation must have empty shape
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*/
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override fun Tensor<T>.valueOrNull(): T? =
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try { this.cast().item() } catch (e: NoaException) { null }
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override fun Tensor<T>.value(): T = this.cast().item()
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}
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}
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public abstract class NoaPartialDivisionAlgebra<T, TensorType : NoaTensor<T>>
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public abstract class NoaPartialDivisionAlgebra<T, TensorType : NoaTensor<T>>
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internal constructor(scope: NoaScope)
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internal constructor(scope: NoaScope) : NoaAlgebra<T, TensorType>(scope), LinearOpsTensorAlgebra<T>,
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: NoaAlgebra<T, TensorType>(scope), LinearOpsTensorAlgebra<T>, AnalyticTensorAlgebra<T> {
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AnalyticTensorAlgebra<T> {
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}
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}
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@ -19,6 +19,8 @@ constructor(scope: NoaScope, internal val tensorHandle: TensorHandle) :
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override fun dispose(): Unit = JNoa.disposeTensor(tensorHandle)
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override fun dispose(): Unit = JNoa.disposeTensor(tensorHandle)
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internal abstract fun item(): T
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override val dimension: Int get() = JNoa.getDim(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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override val shape: IntArray
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@ -79,7 +81,7 @@ public class NoaDoubleTensor
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internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
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internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
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NoaTensorOverField<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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override fun item(): Double = JNoa.getItemDouble(tensorHandle)
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@PerformancePitfall
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@PerformancePitfall
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override fun get(index: IntArray): Double = JNoa.getDouble(tensorHandle, index)
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override fun get(index: IntArray): Double = JNoa.getDouble(tensorHandle, index)
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@ -94,7 +96,7 @@ public class NoaFloatTensor
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internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
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internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
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NoaTensorOverField<Float>(scope, tensorHandle) {
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NoaTensorOverField<Float>(scope, tensorHandle) {
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internal fun item(): Float = JNoa.getItemFloat(tensorHandle)
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override fun item(): Float = JNoa.getItemFloat(tensorHandle)
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@PerformancePitfall
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@PerformancePitfall
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override fun get(index: IntArray): Float = JNoa.getFloat(tensorHandle, index)
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override fun get(index: IntArray): Float = JNoa.getFloat(tensorHandle, index)
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@ -109,7 +111,7 @@ public class NoaLongTensor
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internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
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internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
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NoaTensor<Long>(scope, tensorHandle) {
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NoaTensor<Long>(scope, tensorHandle) {
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internal fun item(): Long = JNoa.getItemLong(tensorHandle)
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override fun item(): Long = JNoa.getItemLong(tensorHandle)
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@PerformancePitfall
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@PerformancePitfall
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override fun get(index: IntArray): Long = JNoa.getLong(tensorHandle, index)
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override fun get(index: IntArray): Long = JNoa.getLong(tensorHandle, index)
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@ -124,7 +126,7 @@ public class NoaIntTensor
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internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
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internal constructor(scope: NoaScope, tensorHandle: TensorHandle) :
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NoaTensor<Int>(scope, tensorHandle) {
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NoaTensor<Int>(scope, tensorHandle) {
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internal fun item(): Int = JNoa.getItemInt(tensorHandle)
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override fun item(): Int = JNoa.getItemInt(tensorHandle)
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@PerformancePitfall
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@PerformancePitfall
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override fun get(index: IntArray): Int = JNoa.getInt(tensorHandle, index)
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override fun get(index: IntArray): Int = JNoa.getInt(tensorHandle, index)
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@ -16,19 +16,19 @@ import space.kscience.kmath.operations.Algebra
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public interface TensorAlgebra<T> : Algebra<Tensor<T>> {
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public interface TensorAlgebra<T> : Algebra<Tensor<T>> {
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/**
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/**
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* Returns a single tensor value of unit dimension if tensor shape equals to [1].
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* For a tensor containing a single element, i.e. a scalar tensor, the value of that element is returned.
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* You need to check if the implementation puts any restrictions on the shape of a scalar tensor.
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*
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*
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* @return a nullable value of a potentially scalar tensor.
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* @return a nullable value of a potentially scalar tensor.
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*/
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*/
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public fun Tensor<T>.valueOrNull(): T?
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public fun Tensor<T>.valueOrNull(): T?
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/**
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/**
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* Returns a single tensor value of unit dimension. The tensor shape must be equal to [1].
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* Unsafe version of [valueOrNull]
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*
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*
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* @return the value of a scalar tensor.
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* @return the value of a scalar tensor.
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*/
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*/
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public fun Tensor<T>.value(): T =
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public fun Tensor<T>.value(): T
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valueOrNull() ?: throw IllegalArgumentException("Inconsistent value for tensor of with $shape shape")
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/**
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/**
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* Each element of the tensor [other] is added to this value.
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* Each element of the tensor [other] is added to this value.
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@ -24,9 +24,20 @@ public open class DoubleTensorAlgebra :
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public companion object : DoubleTensorAlgebra()
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public companion object : DoubleTensorAlgebra()
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/**
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* Returns a single tensor value of unit dimension if tensor shape equals to [1].
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*
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* @return a nullable value of a potentially scalar tensor.
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*/
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override fun Tensor<Double>.valueOrNull(): Double? = if (tensor.shape contentEquals intArrayOf(1))
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override fun Tensor<Double>.valueOrNull(): Double? = if (tensor.shape contentEquals intArrayOf(1))
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tensor.mutableBuffer.array()[tensor.bufferStart] else null
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tensor.mutableBuffer.array()[tensor.bufferStart] else null
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/**
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* Returns a single tensor value of unit dimension. The tensor shape must be equal to [1].
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*
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* @return the value of a scalar tensor.
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*/
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override fun Tensor<Double>.value(): Double = valueOrNull()
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override fun Tensor<Double>.value(): Double = valueOrNull()
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?: throw IllegalArgumentException("The tensor shape is $shape, but value method is allowed only for shape [1]")
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?: throw IllegalArgumentException("The tensor shape is $shape, but value method is allowed only for shape [1]")
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