pub struct SpecializedTmaConv<TMM: TileMatmulFamily> { /* private fields */ }Trait Implementations§
Source§impl<TMM: TileMatmulFamily<LhsTile = Strided, RhsTile = Strided, AccTile = CubeOption<Strided>, OutTile = Strided>> Algorithm for SpecializedTmaConv<TMM>
impl<TMM: TileMatmulFamily<LhsTile = Strided, RhsTile = Strided, AccTile = CubeOption<Strided>, OutTile = Strided>> Algorithm for SpecializedTmaConv<TMM>
Source§const IS_SPECIALIZED: bool = true
const IS_SPECIALIZED: bool = true
Whether to select specialized load flow in tests. Should replace with something cleaner
eventually, but this is nice and simple.
type Routine = SpecializedAlgorithm<TMM, AsyncPartialTmaLoading, SyncBiasLoading>
type Args = TensorMapArgs<RuntimeArgs>
fn into_tensor_handle<R: Runtime>( client: &ComputeClient<R>, handle: &TensorHandleRef<'_, R>, dtype: StorageType, operation: ConvolutionOperation, ) -> Result<TensorHandle<R>, LaunchError>
fn filter_line_sizes(line_sizes: AvailableLineSizes) -> AvailableLineSizes
Auto Trait Implementations§
impl<TMM> Freeze for SpecializedTmaConv<TMM>
impl<TMM> RefUnwindSafe for SpecializedTmaConv<TMM>where
TMM: RefUnwindSafe,
impl<TMM> Send for SpecializedTmaConv<TMM>
impl<TMM> Sync for SpecializedTmaConv<TMM>
impl<TMM> Unpin for SpecializedTmaConv<TMM>where
TMM: Unpin,
impl<TMM> UnwindSafe for SpecializedTmaConv<TMM>where
TMM: UnwindSafe,
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more