Struct neuronika::nn::Constant

pub struct Constant {
    pub value: f32,
}

Constant padding.

See .pad() for more informations.

Fields

value: f32

Implementations

impl Constant

pub fn new(value: f32) -> Self

Trait Implementations

impl Clone for Constant

fn clone(&self) -> Constant

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Constant

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PaddingMode for Constant

fn pad_inplace<D: Dimension, S: DataMut<Elem = f32>, T: Data<Elem = f32>>(
    &self,
    input: &mut ArrayBase<S, D>,
    original: &ArrayBase<T, D>,
    padding: &[usize]
)

Pads the input array in place using a constant value.

See .pad() for more informations.

Arguments

• input - array to be padded.

• original - the original unpadded array.

• padding - slice specifying the amount of padding for each dimension.

Panics

If padding length doesn’t match input’s dimensions.

fn pad<D: Dimension, E: IntoDimension<Dim = D>>(
    &self,
    input: &Array<f32, D>,
    padding: E
) -> Array<f32, D>

Pads the input array with a constant value.

Arguments

• input - the array to be padded.

• padding - the amount of padding for each dimension.

• value - the value for the padding.

Examples

use neuronika::nn::{PaddingMode, Constant};

let padding = Constant::new(8.);
let arr = ndarray::array![
   [1., 2., 3.],
   [4., 5., 6.],
   [7., 8., 9.]
];
let padded = padding.pad(&arr, (1, 1));
let result = ndarray::array![
   [8., 8., 8., 8., 8.],
   [8., 1., 2., 3., 8.],
   [8., 4., 5., 6., 8.],
   [8., 7., 8., 9., 8.],
   [8., 8., 8., 8., 8.]
];

assert_eq!(padded, result);