PrintedTensor

class PrintedTensor(printed: String, shape: Shape) : TracingTensor

This class is used when "printing" complex data structures by tracingPrintedForm. Tracing tensors are replaced by an instance of this class to hold the printed form.

Constructors

PrintedTensor

fun PrintedTensor(printed: String, shape: Shape)

Functions

open override fun <R> accept(v: TracingVisitor<R>): R

floatEval

open fun floatEval(vars: FloatArray): Float

get

open operator fun get(index: Int): DTensor

open operator fun get(vararg indices: Int): DTensor

toCodeString

open fun toCodeString(): String

toString

open override fun toString(): String

wrap

open override fun wrap(wrapper: Wrapper): DTensor

Wrapper around the tensor

Properties

derivativeID

open override val derivativeID: NoDerivativeID

Each derivative is assigned a unique DerivativeID

indices

open val indices: Iterator<IntArray>

An iterator over the indices for the tensor

isScalar

open val isScalar: Boolean

True if the tensor is a scalar.

operations

open override val operations: Operations

The operations available on a tensor.

primal

open override val primal: PrintedTensor

primal points to the actual tensor

printed

val printed: String

rank

open val rank: Int

The number of dimensions in the tensor's shape. rank 0 - Scalar rank 1 - 1D array or 1D tensor rank 2 - 2D matrix or 2D tensor rank 3 - 3D tensor ... rank N - ND tensor

shape

open override val shape: Shape

shape indicates the number of dimension of a tensor and the length of each dimension. If the shape of the tensor is 3x4x5 then the value of shape is Shape(3,4,5).

size

open val size: Int

The total number of elements of this tensor.