Mojo struct
KVCacheMHAOperand
@register_passable(trivial)
struct KVCacheMHAOperand[cache_t: KVCacheT]
An implementation for mo.opaque KVCacheT arguments to MHA kernels.
We can eventually remove this trait and just add it as a sub-trait in the KVCacheT type, but we need to solve some cyclic dependencies first.
Fields
- cache (
cache_t):
Implemented traits
AnyType,
Copyable,
ImplicitlyCopyable,
MHAOperand,
Movable,
UnknownDestructibility
Aliases
__copyinit__is_trivial
alias __copyinit__is_trivial = cache_t.__copyinit__is_trivial
__del__is_trivial
alias __del__is_trivial = cache_t.__del__is_trivial
__moveinit__is_trivial
alias __moveinit__is_trivial = cache_t.__moveinit__is_trivial
dtype
alias dtype = cache_t.dtype
Methods
__init__
__init__(cache: cache_t) -> Self
block_paged_ptr
block_paged_ptr[tile_size: Int](self, batch_idx: UInt32, start_tok_idx: UInt32, head_idx: UInt32, head_dim_idx: UInt32 = 0) -> UnsafePointer[Scalar[cache_t.dtype]]
Returns:
cache_length
max_context_length
row_idx
row_idx(self, batch_idx: UInt32, start_tok_idx: UInt32) -> UInt32
Returns the row idx when viewing the memory as a matrix.
Returns:
col_idx
col_idx(self, head_idx: UInt32) -> UInt32
Returns the col idx when viewing the memory as a matrix.
Returns:
create_tma_tile
create_tma_tile[tile_m: Int, tile_n: Int, swizzle_mode: TensorMapSwizzle, *, is_k_major: Bool](self, ctx: DeviceContext) -> TMATensorTile[cache_t.dtype, tile_layout_k_major[cache_t.dtype, tile_m, tile_n, swizzle_mode]() if is_k_major else tile_layout_mn_major[cache_t.dtype, tile_n, tile_m, swizzle_mode](), _tma_desc_tile_layout[cache_t.dtype, 2, IndexList[2, DType.int64](tile_m, tile_n, Tuple[]()), is_k_major, swizzle_mode](), is_k_major]
Creates a TMA tile for efficient GPU memory transfers.
Returns:
TMATensorTile
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