chore: import upstream snapshot with attribution
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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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"""A lightweight wrapper on an arbitrary function that can be used to schedule a TIR PrimFunc."""
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from collections.abc import Callable
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from tvm import s_tir, tirx
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from tvm.target import Target
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class ScheduleRule: # pylint: disable=too-few-public-methods
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"""A thin wrapper on an arbitrary function that can be used to schedule a TIR PrimFunc.
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Given a PrimFunc, a target, and a tunable flag, the apply method of a ScheduleRule
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returns either a Schedule, a list of Schedules, or None, where None means that the rule
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is not applicable to the given PrimFunc. If the tunable flag is True, the ScheduleRule is
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allowed to return either a Schedule or a list of Schedules, and the Schedules are allowed to
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contain tunable instructions. If the tunable flag is False, the ScheduleRule is only allowed to
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return a Schedule, and the Schedule is not allowed to contain tunable instructions.
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"""
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def apply(
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self,
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func: tirx.PrimFunc,
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target: Target,
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tunable: bool,
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) -> None | s_tir.Schedule | list[s_tir.Schedule]:
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"""Apply the ScheduleRule to the given PrimFunc.
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Parameters
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----------
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func : tirx.PrimFunc
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The PrimFunc to apply the ScheduleRule to.
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target : Target
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The compilation target the schedule is supposed to be built for.
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tunable : bool
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Whether the schedule is allowed to contain tunable instructions.
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Returns
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-------
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results : Union[None, s_tir.Schedule, List[s_tir.Schedule]]
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Either a Schedule, a list of Schedules, or None, where None means that the rule
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is not applicable to the given PrimFunc.
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"""
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raise NotImplementedError
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@staticmethod
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def from_callable(
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name,
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) -> Callable[
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[
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Callable[
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[tirx.PrimFunc, Target, bool],
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None | s_tir.Schedule | list[s_tir.Schedule],
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],
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],
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"ScheduleRule",
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]:
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"""Create a ScheduleRule from a callable.
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Parameters
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----------
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name : str
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Returns
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-------
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decorator : Callable
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A decorator that takes a callable and returns a ScheduleRule.
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Examples
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--------
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.. code-block:: python
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@ScheduleRule.from_callable("MyRule")
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def my_rule(func: tirx.PrimFunc, target: Target, tunable: bool) -> Union[None, Schedule]
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# Do something with func and target
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"""
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def decorator(f) -> "ScheduleRule": # pylint: disable=invalid-name
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class _Rule(ScheduleRule):
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def apply(
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self,
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func: tirx.PrimFunc,
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target: Target,
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tunable: bool,
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) -> None | s_tir.Schedule | list[s_tir.Schedule]:
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return f(func, target, tunable)
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_Rule.__name__ = name
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return _Rule()
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return decorator
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def is_target_available(self, target: Target) -> bool: # pylint: disable=unused-argument
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"""Check whether the rule is available for the given target.
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Parameters
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----------
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target : Target
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The compilation target the schedule is supposed to be built for.
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Returns
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-------
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available : bool
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Whether the rule is available for the given target.
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"""
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return True
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