zxybazh commented on a change in pull request #10366: URL: https://github.com/apache/tvm/pull/10366#discussion_r816410567
########## File path: python/tvm/meta_schedule/task_scheduler/gradient_based.py ########## @@ -0,0 +1,146 @@ +# 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. +"""Gradient Based Task Scheduler""" +import math + +from typing import TYPE_CHECKING, List, Optional +from tvm._ffi import register_object +from tvm._ffi.registry import register_func + +from tvm.ir import IRModule +from ..measure_callback import MeasureCallback +from ..builder import Builder +from ..runner import Runner +from ..database import Database +from ..cost_model import CostModel +from .task_scheduler import TaskScheduler + +from .. import _ffi_api + +if TYPE_CHECKING: + from ..tune_context import TuneContext + + +@register_func("meta_schedule.task_scheduler.derive_similarity_tag") +def derive_similarity_tag(mod: IRModule, log_base: float = 1.618) -> str: + """Get the tags for smilarity group creation + + Parameters + --------- + mod : IRModule + The input workload. + log_base : float + The log base to normalize the flop count. Review comment: Basically it won't matter much, the usage of base is only for workload grouping and then optimal flop estimation. This is same as the practice in autoscheduler. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
