For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /get-started.md).

Mojo function

matmul_dispatch_sm100_fp32

def matmul_dispatch_sm100_fp32[c_type: DType, a_type: DType, b_type: DType, ComputeFnType: ElementwiseComputeFn, //, transpose_b: Bool = True, elementwise_lambda_fn: Optional[def[dtype: DType, width: SIMDLength, *, alignment: Int = Int(1)](IndexList[Int(2)], SIMD[dtype, width]) capturing thin -> None] = None, pdl_level: PDLLevel = PDLLevel(), has_compute_fn: Bool = True](c: TileTensor[c_type, Engine=c.Engine, address_space=c.address_space, linear_idx_type=c.linear_idx_type], a: TileTensor[a_type, Engine=a.Engine, address_space=a.address_space, linear_idx_type=a.linear_idx_type], b: TileTensor[b_type, Engine=b.Engine, address_space=b.address_space, linear_idx_type=b.linear_idx_type], compute_fn: ComputeFnType, ctx: DeviceContext) -> Int

Dispatches a float32 SM100 matmul via the heuristic outlier dispatch.

Delegates directly to sm100_heuristic_and_outliers_dispatch; only float32 input and output are supported.

Parameters:

• ​c_type (DType): Output element type (inferred).
• ​a_type (DType): Element type of the LHS operand a (inferred).
• ​b_type (DType): Element type of the RHS operand b (inferred).
• ​ComputeFnType (ElementwiseComputeFn): Type of the compute epilogue closure (inferred).
• ​transpose_b (Bool): Whether b is stored transposed (defaults to True).
• ​elementwise_lambda_fn (Optional[def[dtype: DType, width: SIMDLength, *, alignment: Int = Int(1)](IndexList[Int(2)], SIMD[dtype, width]) capturing thin -> None]): Optional epilogue applied to each output element (defaults to None).
• ​pdl_level (PDLLevel): Programmatic dependent launch level for the dispatched kernel (defaults to PDLLevel()).
• ​has_compute_fn (Bool): Whether to apply compute_fn (defaults to True).

Returns:

Int