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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"""Extracted tasks from high-level IR."""
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from tvm_ffi import register_object
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from tvm.ir import IRModule
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from tvm.runtime import Object
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from tvm.target import Target
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from . import _ffi_api
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@register_object("s_tir.meta_schedule.ExtractedTask")
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class ExtractedTask(Object):
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"""A tuning task extracted from the high-level IR
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Parameters
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----------
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task_name : str
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The name of the task extracted
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mod : IRModule
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The high-level IR
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target: Target
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Target information
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dispatched : List[IRModule]
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A list of low-level IRs that the high-level IR could potentially dispatch to
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weight : int
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The weight of the task
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"""
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task_name: str
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mod: IRModule
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dispatched: list[IRModule]
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weight: int
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def __init__(
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self,
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task_name: str,
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mod: IRModule,
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target: Target,
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dispatched: list[IRModule],
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weight: int,
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) -> None:
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self.__init_handle_by_constructor__(
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_ffi_api.ExtractedTask, # type: ignore # pylint: disable=no-member
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task_name,
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mod,
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target,
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dispatched,
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weight,
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)
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