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Correcting terminology and failed connection to Algebra<T>

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This commit is contained in:
Roland Grinis 2021-01-18 07:57:13 +00:00
parent 835d64d797
commit ecf813803b
3 changed files with 62 additions and 51 deletions
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3
.gitignore vendored
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@ -9,3 +9,6 @@ out/
# Cache of project # Cache of project
.gradletasknamecache .gradletasknamecache
# Generated by javac -h
*.class

75
kmath-core/src/commonMain/kotlin/kscience/kmath/structures/TensorAlgebra.kt
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@ -1,49 +1,68 @@
package kscience.kmath.structures package kscience.kmath.structures
public interface TensorStructure<T> : MutableNDStructure<T> {
// A tensor can have empty shape, in which case it represents just a value
public abstract fun value(): T
}
import kscience.kmath.operations.* // https://proofwiki.org/wiki/Definition:Algebra_over_Ring
public interface TensorAlgebra<T, TorchTensorType : TensorStructure<T>> : Ring<TorchTensorType> { public interface TensorAlgebra<T, TensorType : TensorStructure<T>> {
public operator fun T.plus(other: TorchTensorType): TorchTensorType public operator fun T.plus(other: TensorType): TensorType
public operator fun TorchTensorType.plus(value: T): TorchTensorType public operator fun TensorType.plus(value: T): TensorType
public operator fun TorchTensorType.plusAssign(value: T): Unit public operator fun TensorType.plus(other: TensorType): TensorType
public operator fun TorchTensorType.plusAssign(b: TorchTensorType): Unit public operator fun TensorType.plusAssign(value: T): Unit
public operator fun TensorType.plusAssign(other: TensorType): Unit
public operator fun T.minus(other: TorchTensorType): TorchTensorType public operator fun T.minus(other: TensorType): TensorType
public operator fun TorchTensorType.minus(value: T): TorchTensorType public operator fun TensorType.minus(value: T): TensorType
public operator fun TorchTensorType.minusAssign(value: T): Unit public operator fun TensorType.minus(other: TensorType): TensorType
public operator fun TorchTensorType.minusAssign(b: TorchTensorType): Unit public operator fun TensorType.minusAssign(value: T): Unit
public operator fun TensorType.minusAssign(other: TensorType): Unit
public operator fun T.times(other: TorchTensorType): TorchTensorType public operator fun T.times(other: TensorType): TensorType
public operator fun TorchTensorType.times(value: T): TorchTensorType public operator fun TensorType.times(value: T): TensorType
public operator fun TorchTensorType.timesAssign(value: T): Unit public operator fun TensorType.times(other: TensorType): TensorType
public operator fun TorchTensorType.timesAssign(b: TorchTensorType): Unit public operator fun TensorType.timesAssign(value: T): Unit
public operator fun TensorType.timesAssign(other: TensorType): Unit
public operator fun TensorType.unaryMinus(): TensorType
public infix fun TorchTensorType.dot(b: TorchTensorType): TorchTensorType
public infix fun TensorType.dot(other: TensorType): TensorType
public infix fun TensorType.dotAssign(other: TensorType): Unit
public infix fun TensorType.dotRightAssign(other: TensorType): Unit
public fun diagonalEmbedding( public fun diagonalEmbedding(
diagonalEntries: TorchTensorType, diagonalEntries: TensorType,
offset: Int = 0, dim1: Int = -2, dim2: Int = -1 offset: Int = 0, dim1: Int = -2, dim2: Int = -1
): TorchTensorType ): TensorType
public fun TorchTensorType.transpose(i: Int, j: Int): TorchTensorType public fun TensorType.transpose(i: Int, j: Int): TensorType
public fun TorchTensorType.view(shape: IntArray): TorchTensorType public fun TensorType.transposeAssign(i: Int, j: Int): Unit
public fun TorchTensorType.abs(): TorchTensorType public fun TensorType.view(shape: IntArray): TensorType
public fun TorchTensorType.sum(): TorchTensorType
public fun TensorType.abs(): TensorType
public fun TensorType.absAssign(): Unit
public fun TensorType.sum(): TensorType
public fun TensorType.sumAssign(): Unit
} }
public interface TensorFieldAlgebra<T, TorchTensorType : TensorStructure<T>> : // https://proofwiki.org/wiki/Definition:Division_Algebra
TensorAlgebra<T, TorchTensorType>, Field<TorchTensorType> {
public operator fun TorchTensorType.divAssign(b: TorchTensorType) public interface TensorPartialDivisionAlgebra<T, TensorType : TensorStructure<T>> :
TensorAlgebra<T, TensorType> {
public fun TorchTensorType.exp(): TorchTensorType public operator fun TensorType.div(other: TensorType): TensorType
public fun TorchTensorType.log(): TorchTensorType public operator fun TensorType.divAssign(other: TensorType)
public fun TorchTensorType.svd(): Triple<TorchTensorType, TorchTensorType, TorchTensorType> public fun TensorType.exp(): TensorType
public fun TorchTensorType.symEig(eigenvectors: Boolean = true): Pair<TorchTensorType, TorchTensorType> public fun TensorType.expAssign(): Unit
public fun TensorType.log(): TensorType
public fun TensorType.logAssign(): Unit
public fun TensorType.svd(): Triple<TensorType, TensorType, TensorType>
public fun TensorType.symEig(eigenvectors: Boolean = true): Pair<TensorType, TensorType>
} }

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kmath-core/src/commonMain/kotlin/kscience/kmath/structures/TensorStructure.kt
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@ -1,11 +0,0 @@
package kscience.kmath.structures
public abstract class TensorStructure<T>: MutableNDStructure<T> {
// A tensor can have empty shape, in which case it represents just a value
public abstract fun value(): T
// Tensors are mutable and might hold shared resources
override fun equals(other: Any?): Boolean = false
override fun hashCode(): Int = 0
}