Struct burn_core::data::dataset::transform::ShuffledDataset

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pub struct ShuffledDataset<D, I> { /* private fields */ }
Expand description

Shuffled a dataset, consider using sampler dataset is you want a probability distribution that is computed lazily.

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impl<D, I> ShuffledDataset<D, I>
where D: Dataset<I>,

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pub fn new(dataset: D, rng: &mut StdRng) -> ShuffledDataset<D, I>

Creates a new shuffled dataset.

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pub fn with_seed(dataset: D, seed: u64) -> ShuffledDataset<D, I>

Creates a new shuffled dataset with a fixed seed.

Trait Implementations§

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impl<D, I> Dataset<I> for ShuffledDataset<D, I>
where D: Dataset<I>, I: Clone + Send + Sync,

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fn get(&self, index: usize) -> Option<I>

Gets the item at the given index.
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fn len(&self) -> usize

Gets the number of items in the dataset.
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fn is_empty(&self) -> bool

Checks if the dataset is empty.
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fn iter(&self) -> DatasetIterator<'_, I> ⓘ
where Self: Sized,

Returns an iterator over the dataset.

Auto Trait Implementations§

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impl<D, I> RefUnwindSafe for ShuffledDataset<D, I>
where D: RefUnwindSafe, I: RefUnwindSafe,

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impl<D, I> Send for ShuffledDataset<D, I>
where D: Send, I: Send,

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impl<D, I> Sync for ShuffledDataset<D, I>
where D: Sync, I: Sync,

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impl<D, I> Unpin for ShuffledDataset<D, I>
where D: Unpin, I: Unpin,

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impl<D, I> UnwindSafe for ShuffledDataset<D, I>
where D: UnwindSafe, I: UnwindSafe,

Blanket Implementations§

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

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where T: ?Sized,

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where T: ?Sized,

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

Mutably borrows from an owned value. Read more
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impl<T> Downcast<T> for T

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fn downcast(&self) -> &T

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T> Instrument for T

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fn instrument(self, span: Span) -> Instrumented<Self>

Instruments this type with the provided [Span], returning an Instrumented wrapper. Read more
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where U: From<T>,

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const ALIGN: usize = _

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unsafe fn init(init: <T as Pointable>::Init) -> usize

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type Output = T

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where U: TryFrom<T>,

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