Correcting terminology and failed connection to Algebra<T>
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@ -9,3 +9,6 @@ out/
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# Cache of project
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.gradletasknamecache
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# Generated by javac -h
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*.class
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@ -1,49 +1,68 @@
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package kscience.kmath.structures
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import kscience.kmath.operations.*
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public interface TensorAlgebra<T, TorchTensorType : TensorStructure<T>> : Ring<TorchTensorType> {
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public operator fun T.plus(other: TorchTensorType): TorchTensorType
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public operator fun TorchTensorType.plus(value: T): TorchTensorType
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public operator fun TorchTensorType.plusAssign(value: T): Unit
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public operator fun TorchTensorType.plusAssign(b: TorchTensorType): Unit
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public operator fun T.minus(other: TorchTensorType): TorchTensorType
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public operator fun TorchTensorType.minus(value: T): TorchTensorType
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public operator fun TorchTensorType.minusAssign(value: T): Unit
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public operator fun TorchTensorType.minusAssign(b: TorchTensorType): Unit
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public operator fun T.times(other: TorchTensorType): TorchTensorType
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public operator fun TorchTensorType.times(value: T): TorchTensorType
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public operator fun TorchTensorType.timesAssign(value: T): Unit
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public operator fun TorchTensorType.timesAssign(b: TorchTensorType): Unit
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public infix fun TorchTensorType.dot(b: TorchTensorType): TorchTensorType
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public fun diagonalEmbedding(
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diagonalEntries: TorchTensorType,
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offset: Int = 0, dim1: Int = -2, dim2: Int = -1
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): TorchTensorType
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public fun TorchTensorType.transpose(i: Int, j: Int): TorchTensorType
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public fun TorchTensorType.view(shape: IntArray): TorchTensorType
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public fun TorchTensorType.abs(): TorchTensorType
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public fun TorchTensorType.sum(): TorchTensorType
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public interface TensorStructure<T> : MutableNDStructure<T> {
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// A tensor can have empty shape, in which case it represents just a value
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public abstract fun value(): T
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}
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public interface TensorFieldAlgebra<T, TorchTensorType : TensorStructure<T>> :
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TensorAlgebra<T, TorchTensorType>, Field<TorchTensorType> {
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// https://proofwiki.org/wiki/Definition:Algebra_over_Ring
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public operator fun TorchTensorType.divAssign(b: TorchTensorType)
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public interface TensorAlgebra<T, TensorType : TensorStructure<T>> {
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public fun TorchTensorType.exp(): TorchTensorType
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public fun TorchTensorType.log(): TorchTensorType
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public operator fun T.plus(other: TensorType): TensorType
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public operator fun TensorType.plus(value: T): TensorType
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public operator fun TensorType.plus(other: TensorType): TensorType
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public operator fun TensorType.plusAssign(value: T): Unit
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public operator fun TensorType.plusAssign(other: TensorType): Unit
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public fun TorchTensorType.svd(): Triple<TorchTensorType, TorchTensorType, TorchTensorType>
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public fun TorchTensorType.symEig(eigenvectors: Boolean = true): Pair<TorchTensorType, TorchTensorType>
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public operator fun T.minus(other: TensorType): TensorType
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public operator fun TensorType.minus(value: T): TensorType
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public operator fun TensorType.minus(other: TensorType): TensorType
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public operator fun TensorType.minusAssign(value: T): Unit
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public operator fun TensorType.minusAssign(other: TensorType): Unit
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public operator fun T.times(other: TensorType): TensorType
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public operator fun TensorType.times(value: T): TensorType
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public operator fun TensorType.times(other: TensorType): TensorType
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public operator fun TensorType.timesAssign(value: T): Unit
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public operator fun TensorType.timesAssign(other: TensorType): Unit
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public operator fun TensorType.unaryMinus(): TensorType
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public infix fun TensorType.dot(other: TensorType): TensorType
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public infix fun TensorType.dotAssign(other: TensorType): Unit
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public infix fun TensorType.dotRightAssign(other: TensorType): Unit
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public fun diagonalEmbedding(
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diagonalEntries: TensorType,
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offset: Int = 0, dim1: Int = -2, dim2: Int = -1
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): TensorType
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public fun TensorType.transpose(i: Int, j: Int): TensorType
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public fun TensorType.transposeAssign(i: Int, j: Int): Unit
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public fun TensorType.view(shape: IntArray): TensorType
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public fun TensorType.abs(): TensorType
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public fun TensorType.absAssign(): Unit
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public fun TensorType.sum(): TensorType
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public fun TensorType.sumAssign(): Unit
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}
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// https://proofwiki.org/wiki/Definition:Division_Algebra
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public interface TensorPartialDivisionAlgebra<T, TensorType : TensorStructure<T>> :
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TensorAlgebra<T, TensorType> {
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public operator fun TensorType.div(other: TensorType): TensorType
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public operator fun TensorType.divAssign(other: TensorType)
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public fun TensorType.exp(): TensorType
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public fun TensorType.expAssign(): Unit
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public fun TensorType.log(): TensorType
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public fun TensorType.logAssign(): Unit
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public fun TensorType.svd(): Triple<TensorType, TensorType, TensorType>
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public fun TensorType.symEig(eigenvectors: Boolean = true): Pair<TensorType, TensorType>
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}
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@ -1,11 +0,0 @@
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package kscience.kmath.structures
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public abstract class TensorStructure<T>: MutableNDStructure<T> {
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// A tensor can have empty shape, in which case it represents just a value
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public abstract fun value(): T
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// Tensors are mutable and might hold shared resources
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override fun equals(other: Any?): Boolean = false
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override fun hashCode(): Int = 0
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}
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