Struct VirtualView 

pub struct VirtualView<T: CubePrimitive, C: Coordinates, S: Coordinates, V: ViewOperations<T, S>> { /* private fields */ }

Implementations

impl<T: CubePrimitive, C: Coordinates, S: Coordinates, V: ViewOperations<T, S>> VirtualView<T, C, S, V>

pub fn new(view: V, layout: VirtualLayout<C, S>) -> Self

pub fn __expand_new( scope: &mut Scope, view: <V as CubeType>::ExpandType, layout: <VirtualLayout<C, S> as CubeType>::ExpandType, ) -> <Self as CubeType>::ExpandType

Trait Implementations

impl<T: CubePrimitive, C: Coordinates, S: Coordinates, V: ViewOperations<T, S>> CubeType for VirtualView<T, C, S, V>

type ExpandType = VirtualViewExpand<T, C, S, V>

fn into_mut(scope: &mut Scope, expand: Self::ExpandType) -> Self::ExpandType

Wrapper around the init method, necessary to type inference.

impl<T: CubePrimitive, C: Coordinates, S: Coordinates, V> Lined for VirtualView<T, C, S, V>

where V: ViewOperations<T, S>,

fn line_size(&self) -> u32

fn __expand_line_size(_scope: &mut Scope, this: Self::ExpandType) -> u32

impl<T: CubePrimitive, C: Coordinates, S: Coordinates, V> ViewOperations<T, C> for VirtualView<T, C, S, V>

where V: ViewOperations<T, S>,

fn read(&self, pos: C) -> T

fn read_checked(&self, pos: C) -> T

fn read_masked(&self, pos: C, value: T) -> T

fn read_unchecked(&self, pos: C) -> T

fn to_linear_slice(&self, pos: C, size: C) -> Slice<T, ReadOnly>

Create a slice starting from pos, with size. The layout handles translation into concrete indices.

fn as_tensor_map(&self) -> CubeOption<TensorMap<T>>

fn tensor_map_load( &self, barrier: &Barrier, shared_memory: &mut Slice<T, ReadWrite>, pos: C, )

.Execute a TMA load into shared memory, if the underlying storage supports it. Panics if it’s unsupported.

fn shape(&self) -> C

fn is_in_bounds(&self, pos: C) -> bool

fn __expand_read( scope: &mut Scope, this: <Self as CubeType>::ExpandType, pos: <C as CubeType>::ExpandType, ) -> <T as CubeType>::ExpandType

fn __expand_read_checked( scope: &mut Scope, this: <Self as CubeType>::ExpandType, pos: <C as CubeType>::ExpandType, ) -> <T as CubeType>::ExpandType

fn __expand_read_masked( scope: &mut Scope, this: <Self as CubeType>::ExpandType, pos: <C as CubeType>::ExpandType, value: <T as CubeType>::ExpandType, ) -> <T as CubeType>::ExpandType

fn __expand_read_unchecked( scope: &mut Scope, this: <Self as CubeType>::ExpandType, pos: <C as CubeType>::ExpandType, ) -> <T as CubeType>::ExpandType

fn __expand_to_linear_slice( scope: &mut Scope, this: <Self as CubeType>::ExpandType, pos: <C as CubeType>::ExpandType, size: <C as CubeType>::ExpandType, ) -> <Slice<T, ReadOnly> as CubeType>::ExpandType

fn __expand_as_tensor_map( scope: &mut Scope, this: <Self as CubeType>::ExpandType, ) -> <CubeOption<TensorMap<T>> as CubeType>::ExpandType

fn __expand_tensor_map_load( scope: &mut Scope, this: <Self as CubeType>::ExpandType, barrier: <Barrier as CubeType>::ExpandType, shared_memory: <Slice<T, ReadWrite> as CubeType>::ExpandType, pos: <C as CubeType>::ExpandType, ) -> <() as CubeType>::ExpandType

fn __expand_shape( scope: &mut Scope, this: <Self as CubeType>::ExpandType, ) -> <C as CubeType>::ExpandType

fn __expand_is_in_bounds( scope: &mut Scope, this: <Self as CubeType>::ExpandType, pos: <C as CubeType>::ExpandType, ) -> <bool as CubeType>::ExpandType