Trait neuronika::nn::PaddingMode[−][src]

pub trait PaddingMode: Send + Sync + Clone {
    fn pad_inplace<D: ReflPad + ReplPad, S: DataMut<Elem = f32>, T: Data<Elem = f32>>(
        &self, 
        array: &mut ArrayBase<S, D>, 
        original: &ArrayBase<T, D>, 
        padding: &[usize]
    );

    fn pad<D: ReflPad + ReplPad, E: IntoDimension<Dim = D>>(
        &self, 
        input: &Array<f32, D>, 
        padding: E
    ) -> Array<f32, D>;
}
Expand description

Padding modes logic.

Required methods

Implementors

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.

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);

Pads the input array in place using the reflection of its boundary.

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.

Pads the input array using the reflection of the input boundary.

Only 1, 2 and 3 dimensional arrays support reflective padding.

Arguments

  • input - the array to be padded.

  • padding - the amount of padding for each dimension.

Examples

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

let padding = Reflective;
let arr = ndarray::array![
   [1., 2., 3.],
   [4., 5., 6.],
   [7., 8., 9.]
];

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

assert_eq!(padded, result);

Pads the input array in place using the replication of its boundary.

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.

Pads the input array using the replication of its boundary.

Only 1, 2 and 3 dimensional arrays support replicative padding.

Arguments

  • input - the array to be padded.

  • padding - the amount of padding for each dimension.

Examples

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

let padding = Replicative;
let arr = ndarray::array![
   [1., 2., 3.],
   [4., 5., 6.],
   [7., 8., 9.]
];

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

assert_eq!(padded, result);

Pads the input array in place with zeros.

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.

Pads the input array with zeros.

Arguments

  • input - the array to be padded.

  • padding - the amount of padding for each dimension.

Examples

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

let padding = Zero;
let arr = ndarray::array![
   [1., 2., 3.],
   [4., 5., 6.],
   [7., 8., 9.]
];
let padded = padding.pad(&arr, (1, 1));
let result = ndarray::array![
   [0., 0., 0., 0., 0.],
   [0., 1., 2., 3., 0.],
   [0., 4., 5., 6., 0.],
   [0., 7., 8., 9., 0.],
   [0., 0., 0., 0., 0.]
];

assert_eq!(padded, result);