padWrap

Pads with the wrap of the slice along the axis. The first values are used to pad the end and the end values are used to pad the beginning.

auto padWrap(Slice!(Iterator, N, kind) s, size_t[N] lengths)
@optmath
auto
padWrap
(
string direction = "both"
Iterator
size_t N
SliceKind kind
)
(
Slice!(Iterator, N, kind) s
,
size_t[N] lengths...
)
template padWrap(size_t[] dimensions, string[] directions)

Parameters

direction: padding direction. Direction can be one of the following values: "both", "pre", and "post".
s Slice!(Iterator, N, kind): Slice
lengths size_t[N]: list of lengths for each dimension. Each length must be less or equal to the corresponding slice length.

Return Value

Type: auto

Examples

import mir.ndslice.allocation: slice;
import mir.ndslice.topology: iota;

auto pad = iota([3], 1)
    .padWrap([2])
    .slice;

assert(pad == [2, 3,  1, 2, 3,  1, 2]);

import mir.ndslice.allocation: slice;
import mir.ndslice.topology: iota;

auto pad = iota([2, 2], 1)
    .padWrap([2, 1])
    .slice;

assert(pad == [
    [2,  1, 2,  1],
    [4,  3, 4,  3],

    [2,  1, 2,  1],
    [4,  3, 4,  3],

    [2,  1, 2,  1],
    [4,  3, 4,  3]]);

See Also

._concatenation examples.

Meta

Source

See Implementation

mir ndslice concatenation functions

structs

Concatenation

templates

variables