skainet-lang-core/sk.ainet.lang.tensor/Slice/Step

Step

data class Step<T : DType, V>(val start: Int, val end: Int, val step: Int) : Slice<T, V> (source)

Represents strided access with custom step size.

Step slices select elements at regular intervals along a dimension, similar to Python's tensor[start:end:step] notation. This enables efficient subsampling and stride-based operations.

Characteristics

Configurable sampling interval
May create non-contiguous patterns
Useful for downsampling operations
Custom stride calculation required

Parameters

start

the starting index (inclusive)

end

the ending index (exclusive)

step

the step size (must be positive)

Constructors

Step

constructor(start: Int, end: Int, step: Int)

Properties

end

val end: Int

start

val start: Int

step

val step: Int