For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /max/get-started.md).
Mojo struct
TileLoaderTMAIm2col
struct TileLoaderTMAIm2col[tma_origin: ImmutOrigin, dtype: DType, tma_rank: Int, tile_shape: IndexList[tma_rank], desc_shape: IndexList[tma_rank], /, *, cta_group: Int]
TMA tile loader using hardware im2col for implicit GEMM convolution.
Uses a TMATensorTileIm2col descriptor (cuTensorMapEncodeIm2col) to perform coordinate transformation in TMA hardware. Coordinates are in GEMM space:
- k_coord: K dimension (C * R * S reduction)
- m_coord: M dimension (batch * H_out * W_out spatial)
Parameters
- tma_origin (
ImmutOrigin): Origin of the TMA descriptor pointer. - dtype (
DType): Element data type. - tma_rank (
Int): Rank of the TMA tile/descriptor shapes. - tile_shape (
IndexList[tma_rank]): TMA tile shape as IndexList. - desc_shape (
IndexList[tma_rank]): TMA descriptor shape as IndexList. - cta_group (
Int): CTA group size (1 or 2 for SM100).
Fields
- tma_op (
TileLoaderTMAIm2col[tma_origin, dtype, tma_rank, tile_shape, desc_shape, cta_group=cta_group].TmaOpPtr): - multicast_mask (
UInt16):
Implemented traits
AnyType,
Copyable,
ImplicitlyCopyable,
ImplicitlyDeletable,
Movable,
RegisterPassable,
TrivialRegisterPassable
comptime members
TmaOp
comptime TmaOp = TMATensorTileIm2col[dtype, tma_rank, tile_shape, desc_shape]
TmaOpPtr
comptime TmaOpPtr = Pointer[TMATensorTileIm2col[dtype, tma_rank, tile_shape, desc_shape], tma_origin]
Methods
__init__
def __init__(tma_op: Pointer[TMATensorTileIm2col[dtype, tma_rank, tile_shape, desc_shape], tma_origin], multicast_mask: UInt16) -> Self
load
def load[LayoutType: TensorLayout](self, dest: TileTensor[dtype, LayoutType, MutAnyOrigin, address_space=AddressSpace.SHARED], ref[AddressSpace._value] barrier: SharedMemBarrier, k_coord: Int, m_coord: Int)
Load a TileTensor tile using im2col TMA.
Args:
- dest (
TileTensor[dtype, LayoutType, MutAnyOrigin, address_space=AddressSpace.SHARED]): Destination SMEM TileTensor tile. - barrier (
SharedMemBarrier): Memory barrier for TMA completion signaling. - k_coord (
Int): K dimension coordinate (C * R * S indexing). - m_coord (
Int): M dimension coordinate (batch * H_out * W_out indexing).
Was this page helpful?
Thank you! We'll create more content like this.
Thank you for helping us improve!