Struct dfdx::nn::modules::Repeated

pub struct Repeated<T, const N: usize> {
    pub modules: Vec<T>,
}

Repeats T N times. This requires that T’s input is the same as it’s output.

Generics

• T the Module to repeat
• N the number of times to repeat T.

Examples

type Model = Repeated<(Linear<10, 10>, ReLU), 5>;
let model = dev.build_module::<Model, f32>();
let out: Tensor<Rank1<10>, f32, _> = model.forward(dev.zeros());

Fields

modules: Vec<T>

Trait Implementations

impl<D: Device<E>, E: Dtype, T: BuildOnDevice<D, E>, const N: usize> BuildOnDevice<D, E> for Repeated<T, N>

type Built = Repeated<<T as BuildOnDevice<D, E>>::Built, N>

fn build_on_device(device: &D) -> Self::Built

fn try_build_on_device(device: &D) -> Result<Self::Built, D::Err>

impl<T: Clone, const N: usize> Clone for Repeated<T, N>

fn clone(&self) -> Repeated<T, N>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<T: Debug, const N: usize> Debug for Repeated<T, N>

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

Formats the value using the given formatter.

impl<T, const N: usize> Index<usize> for Repeated<T, N>

type Output = T

The returned type after indexing.

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

Performs the indexing (container[index]) operation.

impl<Input, T: Module<Input, Output = Input>, const N: usize> Module<Input> for Repeated<T, N>

type Output = <T as Module<Input>>::Output

The type that this unit produces given Input.

type Error = <T as Module<Input>>::Error

fn try_forward(&self, x: Input) -> Result<Self::Output, T::Error>

fn forward(&self, input: Input) -> Self::Output

Forward Input through the module and produce Module::Output.

impl<Input, T: ModuleMut<Input, Output = Input>, const N: usize> ModuleMut<Input> for Repeated<T, N>

type Output = <T as ModuleMut<Input>>::Output

The type that this unit produces given Input.

type Error = <T as ModuleMut<Input>>::Error

fn try_forward_mut(&mut self, x: Input) -> Result<Self::Output, T::Error>

fn forward_mut(&mut self, input: Input) -> Self::Output

Forward Input through the module and produce ModuleMut::Output.

impl<E: Dtype, D: Device<E>, T: TensorCollection<E, D>, const N: usize> TensorCollection<E, D> for Repeated<T, N>

type To<E2: Dtype, D2: Device<E2>> = Repeated<<T as TensorCollection<E, D>>::To<E2, D2>, N>

Type alias that specifies the how a module’s type changes when using a different dtype and/or device.

fn iter_tensors<V: ModuleVisitor<Self, E, D>>( visitor: &mut V ) -> Result<Option<Self::To<V::E2, V::D2>>, V::Err>

Specifies how to iterate through tensors or modules containted within this module, and how to contruct this module given values for its fields. Returns Err(_) to indicate an error, Ok(None) to indicate that there is no error and a module has not been built, and Ok(Some(_)) contains Self::Output<E2, D2>

fn module<F1, F2, Field>( name: &str, get_ref: F1, get_mut: F2 ) -> ModuleField<'_, F1, F2, Self, Field>where F1: FnMut(&Self) -> &Field, F2: FnMut(&mut Self) -> &mut Field, Field: TensorCollection<E, D>,

Creates a ModuleFields that represents a field that may contain one or more tensors.

fn tensor<F1, F2, S>( name: &str, get_ref: F1, get_mut: F2, options: TensorOptions<S, E, D> ) -> TensorField<'_, F1, F2, Self, S, E, D>where F1: FnMut(&Self) -> &Tensor<S, E, D>, F2: FnMut(&mut Self) -> &mut Tensor<S, E, D>, S: Shape,

Creates a ModuleFields that represents a tensor field.