Struct dfdx::shapes::Const

pub struct Const<const M: usize>;

Represents a Dim with size known at compile time

Trait Implementations

impl<const N: usize, const M: usize> Add<Const<N>> for Const<M>where Const<{ _ }>: Sized,

type Output = Const<{ M + N }>

The resulting type after applying the + operator.

fn add(self, _: Const<N>) -> Self::Output

Performs the + operation.

impl<const N: usize> Add<Const<N>> for usize

type Output = usize

The resulting type after applying the + operator.

fn add(self, _: Const<N>) -> Self::Output

Performs the + operation.

impl<const N: usize> Add<usize> for Const<N>

type Output = usize

The resulting type after applying the + operator.

fn add(self, rhs: usize) -> Self::Output

Performs the + operation.

impl<const M: usize> Clone for Const<M>

fn clone(&self) -> Const<M>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<const M: usize> ConstDim for Const<M>

const SIZE: usize = M

impl<const M: usize> Debug for Const<M>

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

Formats the value using the given formatter.

impl<const M: usize> Default for Const<M>

fn default() -> Const<M>

Returns the “default value” for a type.

impl<const M: usize> Dim for Const<M>

fn size(&self) -> usize

fn from_size(size: usize) -> Option<Self>

impl<const N: usize, const M: usize> Div<Const<N>> for Const<M>where Const<{ _ }>: Sized,

type Output = Const<{ M / N }>

The resulting type after applying the / operator.

fn div(self, _: Const<N>) -> Self::Output

Performs the / operation.

impl<const N: usize> Div<Const<N>> for usize

type Output = usize

The resulting type after applying the / operator.

fn div(self, _: Const<N>) -> Self::Output

Performs the / operation.

impl<const N: usize> Div<usize> for Const<N>

type Output = usize

The resulting type after applying the / operator.

fn div(self, rhs: usize) -> Self::Output

Performs the / operation.

impl<const N: usize, const M: usize> Mul<Const<N>> for Const<M>where Const<{ _ }>: Sized,

type Output = Const<{ M * N }>

The resulting type after applying the * operator.

fn mul(self, _: Const<N>) -> Self::Output

Performs the * operation.

impl<const N: usize> Mul<Const<N>> for usize

type Output = usize

The resulting type after applying the * operator.

fn mul(self, _: Const<N>) -> Self::Output

Performs the * operation.

impl<const N: usize> Mul<usize> for Const<N>

type Output = usize

The resulting type after applying the * operator.

fn mul(self, rhs: usize) -> Self::Output

Performs the * operation.

impl<const M: usize> PartialEq<Const<M>> for Const<M>

fn eq(&self, other: &Const<M>) -> 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<const KERNEL: usize, const STRIDE: usize, const PADDING: usize, const DILATION: usize, Groups: Dim, const DIM: usize> TryConv2D<Const<STRIDE>, Const<PADDING>, Const<DILATION>, Groups> for (Const<DIM>, Const<KERNEL>)where Const<{ _ }>: Sized,

type Convolved = Const<{ (DIM + 2 * PADDING - DILATION * (KERNEL - 1) - 1) / STRIDE + 1 }>

type Error = Infallible

fn try_conv2d( self, _: Const<STRIDE>, _: Const<PADDING>, _: Const<DILATION>, _: Groups ) -> Result<Self::Convolved, Self::Error>

Fallibly applies a 2D convolution to the input tensor.

fn conv2d( self, stride: Stride, padding: Padding, dilation: Dilation, groups: Groups ) -> Self::Convolved

Applies a 2D convolution to the input tensor.

impl<const KERNEL: usize, const STRIDE: usize, const PADDING: usize, const DILATION: usize, Groups: Dim, const DIM: usize> TryConvTrans2D<Const<STRIDE>, Const<PADDING>, Const<DILATION>, Groups> for (Const<DIM>, Const<KERNEL>)where Const<{ _ }>: Sized,

type Convolved = Const<{ (DIM - 1) * STRIDE - 2 * PADDING + DILATION * (KERNEL - 1) + 1 }>

type Error = Infallible

fn try_convtrans2d( self, _: Const<STRIDE>, _: Const<PADDING>, _: Const<DILATION>, _: Groups ) -> Result<Self::Convolved, Self::Error>

Fallibly applies a 2D convolution to the input tensor.

fn convtrans2d( self, stride: Stride, padding: Padding, dilation: Dilation, groups: Groups ) -> Self::Convolved

Applies a 2D convolution to the input tensor.

impl<const KERNEL: usize, const STRIDE: usize, const PADDING: usize, const DILATION: usize, const DIM: usize> TryPool2D<Const<KERNEL>, Const<STRIDE>, Const<PADDING>, Const<DILATION>> for Const<DIM>where Const<{ _ }>: Sized,

type Pooled = Const<{ (DIM + 2 * PADDING - DILATION * (KERNEL - 1) - 1) / STRIDE + 1 }>

type Error = Infallible

fn try_pool2d( self, _: Pool2DKind, _: Const<KERNEL>, _: Const<STRIDE>, _: Const<PADDING>, _: Const<DILATION> ) -> Result<Self::Pooled, Self::Error>

fn pool2d( self, kind: Pool2DKind, kernel: Kernel, stride: Stride, padding: Padding, dilation: Dilation ) -> Self::Pooled

impl<const M: usize> Copy for Const<M>

impl<const M: usize> Eq for Const<M>

impl<const M: usize> StructuralEq for Const<M>

impl<const M: usize> StructuralPartialEq for Const<M>