# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. """Transformation on TIR schedule.""" from tvm.s_tir.schedule import LoopRV, SBlockRV, Schedule from . import _ffi_api def tile_with_tensor_intrin( sch: Schedule, block: SBlockRV, intrin_name: str, allow_padding: bool = False ) -> LoopRV | None: """Tile a subset of loops in the block according to the given tensor intrinsic. Parameters ---------- sch : Schedule The schedule to which tiling is applied block : SBlockRV The block whose subset of loops will be tiled intrin_name : str The name of a tensor intrinsic, must be registerd via TensorIntrin.register(...) beforehand allow_padding : bool Whether to allow padding when tiling Returns ------- tiled_loop_rv : Optional[LoopRV] LoopRV corresponding to the outermost loop of a block tiled according to the given intrin std::nullopt if no valid loop mapping is found """ return _ffi_api.TileWithTensorIntrin(sch, block, intrin_name, allow_padding) # type: ignore