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Mojo struct
SMemTileArrayWithLayout
struct SMemTileArrayWithLayout[dtype: DType, tile_layout: Layout[tile_layout.shape_types, tile_layout.stride_types], num_tiles: Int, alignment: Int = 128]
Array of TileTensor tiles with explicit Layout (preserves swizzle info).
Unlike SMemTileArray2D which uses row_major internally, this type preserves the full layout information from TMA swizzling, enabling .to_layout_tensor() to produce correctly swizzled LayoutTensors.
Example: comptime swizzled_layout = tile_layout_k_majordtype, BM, BK, ... comptime MyArray = SMemTileArrayWithLayout[dtype, swizzled_layout, 4]
var array = MyArray.stack_allocation() var tile = array[0] # Returns TileTensor with swizzled layout var lt = tile.to_layout_tensor() # Correctly swizzled!
Parametersβ
- βdtype (
DType): Tile element data type. - βtile_layout (
Layout[tile_layout.shape_types, tile_layout.stride_types]): The full layout including swizzle information. - βnum_tiles (
Int): Number of tiles in the array. - βalignment (
Int): Memory alignment (default 128 for shared memory).
Fieldsβ
- βptr (
UnsafePointer[Scalar[dtype], MutAnyOrigin, address_space=AddressSpace.SHARED]):
Implemented traitsβ
AnyType,
Copyable,
ImplicitlyCopyable,
ImplicitlyDestructible,
Movable,
RegisterPassable,
TrivialRegisterPassable
comptime membersβ
num_elementsβ
comptime num_elements = (SMemTileArrayWithLayout[dtype, tile_layout, num_tiles, alignment].tile_size * num_tiles)
Storageβ
comptime Storage = InlineArray[Scalar[dtype], SMemTileArrayWithLayout[dtype, tile_layout, num_tiles, alignment].num_elements]
storage_sizeβ
comptime storage_size = (SMemTileArrayWithLayout[dtype, tile_layout, num_tiles, alignment].num_elements * size_of[dtype]())
Tileβ
comptime Tile = TileTensor[dtype, Layout[shape_types, stride_types], MutAnyOrigin, address_space=AddressSpace.SHARED]
tile_sizeβ
comptime tile_size = tile_layout.product()
Methodsβ
__init__β
__init__(ref[AddressSpace._value] storage: InlineArray[Scalar[dtype], SMemTileArrayWithLayout[dtype, tile_layout, num_tiles, alignment].num_elements]) -> Self
Initialize from inline storage.
Args:
- βstorage (
InlineArray[Scalar[dtype], SMemTileArrayWithLayout[dtype, tile_layout, num_tiles, alignment].num_elements]): The inline storage array.
Returns:
Self: A new SMemTileArrayWithLayout pointing to the storage.
__init__(unsafe_ptr: UnsafePointer[Scalar[dtype], address_space=AddressSpace.SHARED]) -> Self
Initialize with a shared memory pointer.
Args:
- βunsafe_ptr (
UnsafePointer[Scalar[dtype], address_space=AddressSpace.SHARED]): Pointer to shared memory storage.
__getitem__β
__getitem__[T: Intable](self, index: T) -> SMemTileArrayWithLayout[dtype, tile_layout, num_tiles, alignment].Tile
Get tile at the given index.
Args:
- βindex (
T): The tile index.
Returns:
SMemTileArrayWithLayout[dtype, tile_layout, num_tiles, alignment].Tile: A TileTensor with correct swizzled layout at the given index.
sliceβ
slice[length: Int](self, start: Int) -> SMemTileArrayWithLayout[dtype, tile_layout, length, alignment]
Get a slice of the array.
Parameters:
- βlength (
Int): The length of the slice.
Args:
- βstart (
Int): The starting index.
Returns:
SMemTileArrayWithLayout[dtype, tile_layout, length, alignment]: A new SMemTileArrayWithLayout representing the slice.
stack_allocationβ
static stack_allocation() -> Self
Allocate the array on the stack (in shared memory).
Returns:
Self: A new SMemTileArrayWithLayout backed by stack-allocated shared memory.
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