blob: 244c1abdf5f8ac3e0a7692b8cd08eaec1c4175b6 [file] [log] [blame]
#
# Licensed to the Apache Software Foundation (ASF) under one
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# 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
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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#
from abc import abstractmethod
from src.search_space.core.model_params import ModelMicroCfg
from src.search_space.core.space import SpaceWrapper
class Sampler:
def __init__(self, space: SpaceWrapper):
self.space = space
@abstractmethod
def sample_next_arch(self, sorted_model: list) -> (str, ModelMicroCfg):
"""
Sample next architecture,
:param sorted_model: the scoted model,
:return:
"""
raise NotImplementedError
@abstractmethod
def fit_sampler(self, score: float):
"""
Fit the sampler with architecture's score.
:param score:
:return:
"""
raise NotImplementedError