Mojo struct
MmaWarpContext
struct MmaWarpContext[opc: OutputPipelineConfig, mma_threads: Int, epilogue_threads: Int]
MMA warp context - owns TMEM lifecycle and output pipeline.
enter: Signals epilogue that TMEM is allocated exit: Waits for epilogue, deallocates TMEM
Fields
- tmem (
MmaWarpContext[opc, mma_threads, epilogue_threads].Tmem): - output_pipeline (
MmaWarpContext[opc, mma_threads, epilogue_threads].Pipeline): - dealloc_barrier (
MmaWarpContext[opc, mma_threads, epilogue_threads].Dealloc):
Implemented traits
AnyType,
Copyable,
ImplicitlyCopyable,
ImplicitlyDestructible,
Movable,
RegisterPassable,
TrivialRegisterPassable
comptime members
Dealloc
comptime Dealloc = _WarpContextTypes[opc, mma_threads, epilogue_threads].Dealloc
Pipeline
comptime Pipeline = _WarpContextTypes[opc, mma_threads, epilogue_threads].Pipeline
Sync
comptime Sync = _WarpContextTypes[opc, mma_threads, epilogue_threads].Sync
Tmem
comptime Tmem = _WarpContextTypes[opc, mma_threads, epilogue_threads].Tmem
Methods
__init__
__init__(tmem: TmemAllocation[opc.cta_group], output_pipeline: OutputTilePipeline[opc], dealloc_barrier: TmemDeallocBarrier[opc.cta_group]) -> Self
create
static create(tmem_addr_storage: SMemArray[UInt32, 1], accum_barriers_ptr: UnsafePointer[SharedMemBarrier, MutAnyOrigin, address_space=AddressSpace.SHARED], dealloc_mbar: SMemArray[SharedMemBarrier, 1], mma_complete_mask: UInt16) -> Self
Create MMA warp context with all necessary components.
Allocates TMEM and creates output pipeline internally.
Args:
- tmem_addr_storage (
SMemArray[UInt32, 1]): Shared storage for TMEM address communication. - accum_barriers_ptr (
UnsafePointer[SharedMemBarrier, MutAnyOrigin, address_space=AddressSpace.SHARED]): Pointer to accumulator pipeline barriers. - dealloc_mbar (
SMemArray[SharedMemBarrier, 1]): Barrier for TMEM deallocation synchronization. - mma_complete_mask (
UInt16): Multicast mask for MMA completion signaling.
Returns:
Self: Fully initialized MmaWarpContext.
__enter__
__enter__(self) -> Self
__exit__
__exit__(self)
per_k_stage
per_k_stage(mut self) -> MmaKStage[origin_of(self.output_pipeline), opc]
Get per-K stage for blockwise FP8 MMA loop.
Returns a context manager that acquires an output stage and signals mma_arrive on exit.
Example: for i in range(num_iters): with mma_ctx.per_k_stage() as mma_stage: mma(input_tiles, mma_op, AccumTensor(mma_stage.tmem.offset())) # exit signals mma_arrive automatically
Returns:
MmaKStage[origin_of(self.output_pipeline), opc]
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