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ConvolutionInputs

cubek_convolution::launch

Enum ConvolutionInputs

pub enum ConvolutionInputs<R: Runtime> {
    Forward {
        input: InputBinding<R>,
        weight: InputBinding<R>,
        bias: Option<InputBinding<R>>,
        out: TensorBinding<R>,
    },
    BackwardData {
        out_grad: InputBinding<R>,
        weights: InputBinding<R>,
        in_grad: TensorBinding<R>,
    },
    BackwardWeight {
        input: InputBinding<R>,
        out_grad: InputBinding<R>,
        weight_grad: TensorBinding<R>,
    },
}

Expand description

Per-operation tensor bindings supplied to launch_ref.

Each variant carries exactly the bindings the corresponding operation needs. The discriminant maps 1:1 to ConvolutionOperation.

Variants§

Forward

Fields

§input: InputBinding<R>

§weight: InputBinding<R>

§bias: Option<InputBinding<R>>

§out: TensorBinding<R>

BackwardData

Fields

§out_grad: InputBinding<R>

§weights: InputBinding<R>

§in_grad: TensorBinding<R>

BackwardWeight

Fields

§input: InputBinding<R>

§out_grad: InputBinding<R>

§weight_grad: TensorBinding<R>

Implementations§

impl<R: Runtime> ConvolutionInputs<R>

pub fn operation(&self) -> ConvolutionOperation

Auto Trait Implementations§

impl<R> Freeze for ConvolutionInputs<R>

impl<R> !RefUnwindSafe for ConvolutionInputs<R>

impl<R> Send for ConvolutionInputs<R>

impl<R> Sync for ConvolutionInputs<R>

impl<R> Unpin for ConvolutionInputs<R>
where R: Unpin,

impl<R> UnsafeUnpin for ConvolutionInputs<R>

impl<R> !UnwindSafe for ConvolutionInputs<R>

Blanket Implementations§

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

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impl<T> BorrowMut<T> for T
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fn borrow_mut(&mut self) -> &mut T

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impl<T> From<T> for T

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

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impl<T> IntoComptime for T

fn comptime(self) -> Self

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

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

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

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