Mojo function

select_and_launch_sm100_config

select_and_launch_sm100_config[c_type: DType, a_type: DType, b_type: DType, launch_type: def[config.a_type`: DType, config.b_type`1: DType, config.c_type`2: DType, config.transpose_b`3: Bool, config: MatmulConfig[a_type, b_type, c_type, transpose_b]]() raises -> None, //, transpose_b: Bool = True, elementwise_lambda_fn: Optional[def[dtype: DType, width: Int, *, alignment: Int = 1](IndexList[2], SIMD[dtype, width]) capturing -> None] = None, elementwise_compute_lambda_fn: Optional[def[dtype: DType, width: Int, *, alignment: Int = 1](IndexList[2], SIMD[dtype, width]) capturing -> SIMD[dtype, width]] = None, pdl_level: PDLLevel = PDLLevel()](launch: launch_type, c: TileTensor[c_type, c.LayoutType, c.origin, address_space=c.address_space, linear_idx_type=c.linear_idx_type, element_size=c.element_size], a: TileTensor[a_type, a.LayoutType, a.origin, address_space=a.address_space, linear_idx_type=a.linear_idx_type, element_size=a.element_size], b: TileTensor[b_type, b.LayoutType, b.origin, address_space=b.address_space, linear_idx_type=b.linear_idx_type, element_size=b.element_size], ctx: DeviceContext) -> Int

Returns:

Int