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