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
ScalesLoader
struct ScalesLoader[tma_origin: ImmutOrigin, dtype: DType, tile_layout: TensorLayout, desc_layout: TensorLayout = tile_layout, /, *, cta_group: Int]
TMA scales loader parameterized on new Layout types.
Uses TmaOpType to derive the TMATensorTile type from new Layout. Uses async_copy (no multicast). Coordinate order is (row_coord, k_coord) matching scales tensor layout.
Fields
- tma_op (
ScalesLoader[tma_origin, dtype, tile_layout, desc_layout, cta_group=cta_group].TmaOpPtr):
Implemented traits
AnyType,
Copyable,
ImplicitlyCopyable,
ImplicitlyDeletable,
Movable,
RegisterPassable,
TrivialRegisterPassable
comptime members
TmaOp
comptime TmaOp = TMATensorTile[dtype, tile_layout.rank, _to_index_list[tile_layout](), _to_index_list[tile_layout.rank, desc_layout]()]
TmaOpPtr
comptime TmaOpPtr = Pointer[TMATensorTile[dtype, tile_layout.rank, _to_index_list[tile_layout](), _to_index_list[tile_layout.rank, desc_layout]()], tma_origin]
Methods
__init__
def __init__[tma_op_type: AnyType](tma_op: Pointer[tma_op_type, tma_origin]) -> Self
Accepts any TMA pointer. Rebinds to the loader's derived type.
load
def load[LayoutType: TensorLayout](self, dest: TileTensor[dtype, LayoutType, MutAnyOrigin, address_space=AddressSpace.SHARED], ref[AddressSpace._value] barrier: SharedMemBarrier, row_coord: Int, k_coord: Int)
Load scales using TMA async copy.
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