Mojo function

heuristic_and_outliers_dispatch

heuristic_and_outliers_dispatch[c_type: DType, a_type: DType, b_type: DType, //, 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(), has_epilogue_tensor: Bool = False, epilogue_is_1d: Bool = False](c: TileTensor[c_type, address_space=c.address_space, linear_idx_type=c.linear_idx_type, element_size=c.element_size], a: TileTensor[a_type, address_space=a.address_space, linear_idx_type=a.linear_idx_type, element_size=a.element_size], b: TileTensor[b_type, address_space=b.address_space, linear_idx_type=b.linear_idx_type, element_size=b.element_size], ctx: DeviceContext, epilogue_tensor: OptionalReg[TileTensor[c_type, Layout[*?, *?], ImmutAnyOrigin]] = None) -> Int

Returns:

Int