# Copyright 2021 cstsunfu. All rights reserved.
#
# Licensed 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.
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from typing import Dict
import torch.nn as nn
from dlk.utils.config import BaseConfig
from . import scheduler_register, scheduler_config_register, BaseScheduler
from torch.optim.lr_scheduler import LambdaLR
import torch.optim as optim
[docs]@scheduler_config_register("constant")
class ConstantScheduleConfig(BaseConfig):
"""Config for ConstantSchedule
Config Example:
>>> {
>>> "config": {
>>> "last_epoch": -1
>>> },
>>> "_name": "constant",
>>> }
"""
def __init__(self, config: Dict):
super(ConstantScheduleConfig, self).__init__(config)
config = config['config']
self.last_epoch = config["last_epoch"]
self.post_check(config, used=[
"last_epoch",
])
[docs]@scheduler_register("constant")
class ConstantSchedule(BaseScheduler):
"""no schedule
"""
def __init__(self, optimizer: optim.Optimizer, config: ConstantScheduleConfig):
super(ConstantSchedule, self).__init__()
self.config = config
self.optimizer = optimizer
[docs] def get_scheduler(self):
"""return the initialized constant scheduler
Returns:
Schedule
"""
return LambdaLR(self.optimizer, lambda _: 1, last_epoch=self.config.last_epoch)