Struct ai_dataloader::indexable::NdarrayDataset

pub struct NdarrayDataset<A1, A2, D1, D2>where
    A1: Clone,
    A2: Clone,
    D1: Dimension + RemoveAxis,
    D2: Dimension + RemoveAxis,{
    pub ndarrays: (Array<A1, D1>, Array<A2, D2>),
}

Basic dataset than can contains two ndarray of any dimension.

Fields

ndarrays: (Array<A1, D1>, Array<A2, D2>)

The content of the dataset.

Trait Implementations

impl<A1, A2, D1, D2> Clone for NdarrayDataset<A1, A2, D1, D2>where A1: Clone, A2: Clone, D1: Dimension + RemoveAxis, D2: Dimension + RemoveAxis,

fn clone(&self) -> Self

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<A1, A2, D1, D2> Debug for NdarrayDataset<A1, A2, D1, D2>where A1: Clone + Debug, A2: Clone + Debug, D1: Dimension + RemoveAxis + Debug, D2: Dimension + RemoveAxis + Debug,

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

Formats the value using the given formatter.

impl<A1, A2, D1, D2> GetSample for NdarrayDataset<A1, A2, D1, D2>where A1: Clone, A2: Clone, D1: Dimension + RemoveAxis, D2: Dimension + RemoveAxis,

type Sample = (ArrayBase<OwnedRepr<A1>, <D1 as Dimension>::Smaller>, ArrayBase<OwnedRepr<A2>, <D2 as Dimension>::Smaller>)

Type of one sample of the dataset.

fn get_sample(&self, index: usize) -> Self::Sample

Return the dataset sample corresponding to the index.

impl<A1, A2, D1, D2> Hash for NdarrayDataset<A1, A2, D1, D2>where A1: Clone + Hash, A2: Clone + Hash, D1: Dimension + RemoveAxis + Hash, D2: Dimension + RemoveAxis + Hash,

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl<A1, A2, D1, D2> Len for NdarrayDataset<A1, A2, D1, D2>where A1: Clone, A2: Clone, D1: Dimension + RemoveAxis, D2: Dimension + RemoveAxis,

fn len(&self) -> usize

Returns the number of elements in the collection, also referred to as its length.

fn is_empty(&self) -> bool

Return true if the collection has no element.

impl<A1, A2, D1, D2> PartialEq<NdarrayDataset<A1, A2, D1, D2>> for NdarrayDataset<A1, A2, D1, D2>where A1: Clone + PartialEq, A2: Clone + PartialEq, D1: Dimension + RemoveAxis + PartialEq, D2: Dimension + RemoveAxis + PartialEq,

fn eq(&self, other: &NdarrayDataset<A1, A2, D1, D2>) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<A1, A2, D1, D2> Dataset for NdarrayDataset<A1, A2, D1, D2>where A1: Clone, A2: Clone, D1: Dimension + RemoveAxis, D2: Dimension + RemoveAxis,

impl<A1, A2, D1, D2> Eq for NdarrayDataset<A1, A2, D1, D2>where A1: Clone + Eq, A2: Clone + Eq, D1: Dimension + RemoveAxis + Eq, D2: Dimension + RemoveAxis + Eq,

impl<A1, A2, D1, D2> StructuralEq for NdarrayDataset<A1, A2, D1, D2>where A1: Clone, A2: Clone, D1: Dimension + RemoveAxis, D2: Dimension + RemoveAxis,

impl<A1, A2, D1, D2> StructuralPartialEq for NdarrayDataset<A1, A2, D1, D2>where A1: Clone, A2: Clone, D1: Dimension + RemoveAxis, D2: Dimension + RemoveAxis,