Struct ai_dataloader::indexable::NdarrayDataset

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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>),
}

Expand description

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

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

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fn clone(&self) -> Self

Returns a copy of the value. Read more

1.0.0 · source

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

Performs copy-assignment from source. Read more

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

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

Formats the value using the given formatter. Read more

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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.

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

Return the dataset sample corresponding to the index.

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

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

Feeds this value into the given Hasher. Read more

1.3.0 · source

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

Feeds a slice of this type into the given Hasher. Read more

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

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fn len(&self) -> usize

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

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fn is_empty(&self) -> bool

Return true if the collection has no element.

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

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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 ==. Read more

1.0.0 · source

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. Read more

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

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

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

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

Auto Trait Implementations

impl<A1, A2, D1, D2> RefUnwindSafe for NdarrayDataset<A1, A2, D1, D2>where
 A1: RefUnwindSafe,
 A2: RefUnwindSafe,
 D1: RefUnwindSafe,
 D2: RefUnwindSafe,

impl<A1, A2, D1, D2> Send for NdarrayDataset<A1, A2, D1, D2>where
A1: Send,
A2: Send,

impl<A1, A2, D1, D2> Sync for NdarrayDataset<A1, A2, D1, D2>where
A1: Sync,
A2: Sync,

impl<A1, A2, D1, D2> Unpin for NdarrayDataset<A1, A2, D1, D2>where
D1: Unpin,
D2: Unpin,

impl<A1, A2, D1, D2> UnwindSafe for NdarrayDataset<A1, A2, D1, D2>where
 A1: RefUnwindSafe,
 A2: RefUnwindSafe,
 D1: UnwindSafe,
 D2: UnwindSafe,

Blanket Implementations

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impl<T> Any for Twhere
T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for Twhere
T: ?Sized,

const: unstable · source

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for Twhere
T: ?Sized,

const: unstable · source

fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<T> From<T> for T

const: unstable · source

fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for Twhere
U: From<T>,

const: unstable · source

fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> ToOwned for Twhere
T: Clone,

type Owned = T

The resulting type after obtaining ownership.

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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more

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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more

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impl<T, U> TryFrom for Twhere
U: Into<T>,

type Error = Infallible

The type returned in the event of a conversion error.

const: unstable · source

fn try_from(value: U) -> Result<T, <T as TryFrom>::Error>

Performs the conversion.

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impl<T, U> TryInto for Twhere
U: TryFrom<T>,

type Error = >::Error

The type returned in the event of a conversion error.

const: unstable · source

fn try_into(self) -> Result<U, >::Error>

Performs the conversion.

Struct ai_dataloader::indexable::NdarrayDataset

Fields

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

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

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

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

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>)

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

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

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

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

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

fn is_empty(&self) -> bool

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

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

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

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

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,

Auto Trait Implementations

impl<A1, A2, D1, D2> RefUnwindSafe for NdarrayDataset<A1, A2, D1, D2>where A1: RefUnwindSafe, A2: RefUnwindSafe, D1: RefUnwindSafe, D2: RefUnwindSafe,

impl<A1, A2, D1, D2> Send for NdarrayDataset<A1, A2, D1, D2>where A1: Send, A2: Send,

impl<A1, A2, D1, D2> Sync for NdarrayDataset<A1, A2, D1, D2>where A1: Sync, A2: Sync,

impl<A1, A2, D1, D2> Unpin for NdarrayDataset<A1, A2, D1, D2>where D1: Unpin, D2: Unpin,

impl<A1, A2, D1, D2> UnwindSafe for NdarrayDataset<A1, A2, D1, D2>where A1: RefUnwindSafe, A2: RefUnwindSafe, D1: UnwindSafe, D2: UnwindSafe,

Blanket Implementations

impl<T> Any for Twhere T: 'static + ?Sized,

fn type_id(&self) -> TypeId

impl<T> Borrow<T> for Twhere T: ?Sized,

fn borrow(&self) -> &T

impl<T> BorrowMut<T> for Twhere T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

impl<T> From<T> for T

fn from(t: T) -> T

impl<T, U> Into<U> for Twhere U: From<T>,

fn into(self) -> U

impl<T> ToOwned for Twhere T: Clone,

type Owned = T

fn to_owned(&self) -> T

fn clone_into(&self, target: &mut T)

impl<T, U> TryFrom<U> for Twhere U: Into<T>,

type Error = Infallible

fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

impl<T, U> TryInto<U> for Twhere U: TryFrom<T>,

type Error = <U as TryFrom<T>>::Error

fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

impl<V, T> VZip<V> for Twhere V: MultiLane<T>,

fn vzip(self) -> V

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

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

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

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

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

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

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

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

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

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,

impl<A1, A2, D1, D2> RefUnwindSafe for NdarrayDataset<A1, A2, D1, D2>where
A1: RefUnwindSafe,
A2: RefUnwindSafe,
D1: RefUnwindSafe,
D2: RefUnwindSafe,

impl<A1, A2, D1, D2> Send for NdarrayDataset<A1, A2, D1, D2>where
A1: Send,
A2: Send,

impl<A1, A2, D1, D2> Sync for NdarrayDataset<A1, A2, D1, D2>where
A1: Sync,
A2: Sync,

impl<A1, A2, D1, D2> Unpin for NdarrayDataset<A1, A2, D1, D2>where
D1: Unpin,
D2: Unpin,

impl<A1, A2, D1, D2> UnwindSafe for NdarrayDataset<A1, A2, D1, D2>where
A1: RefUnwindSafe,
A2: RefUnwindSafe,
D1: UnwindSafe,
D2: UnwindSafe,

impl<T> Any for Twhere
T: 'static + ?Sized,

impl<T> Borrow<T> for Twhere
T: ?Sized,

impl<T> BorrowMut<T> for Twhere
T: ?Sized,

impl<T, U> Into<U> for Twhere
U: From<T>,

impl<T> ToOwned for Twhere
T: Clone,

impl<T, U> TryFrom<U> for Twhere
U: Into<T>,

impl<T, U> TryInto<U> for Twhere
U: TryFrom<T>,

impl<V, T> VZip<V> for Twhere
V: MultiLane<T>,