wehub-resource-sync
58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
# isort: skip_file
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# 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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# pylint: disable=invalid-name
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"""S-TIR namespace for scheduable TensorIR"""
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from tvm.tirx.function import TensorIntrin
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# dlight depends on compiler-only C++ functions (e.g. s_tir.schedule.GetSBlockRealize),
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# so skip it in runtime-only builds.
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from tvm.base import _RUNTIME_ONLY
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from . import _ffi_api
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from . import backend
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from . import pipeline
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from . import transform
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from . import schedule
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from .schedule import StmtSRef, SBlockScope, ScheduleState, Schedule, ScheduleError, Trace
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from .sblock_dependence_info import SBlockDependenceInfo
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from .data_layout import SLayout, SBijectiveLayout, sbijective_layout, slayout
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if not _RUNTIME_ONLY:
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from . import analysis
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from . import meta_schedule
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from . import dlight
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def renew_defs(func):
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"""Re-generate the definition nodes for a TIR, including VarDef, BufferDef.
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This pass works as a simple DeepCopy to duplicate a function with different Vars and
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Buffers but the same behavior
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Parameters
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----------
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func: PrimFunc
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The input function
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Returns
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-------
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result : PrimFunc
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The new generated func.
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"""
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return _ffi_api.RenewDefs(func)
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