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apache--tvm/python/tvm/s_tir/meta_schedule/extracted_task.py
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chore: import upstream snapshot with attribution
2026-07-13 13:36:25 +08:00

67 lines
1.9 KiB
Python

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