### Copyright 2023 [Dawn Of Eve]

# 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.
# See the License for the specific language governing permissions and
# limitations under the License.

from typing import Dict, Tuple, Any, Optional

import torch
from torch.optim.optimizer import Optimizer


class BaseConfig():
    pass



class BaseOptimizer(Optimizer):
    def __init__(
        self, 
        params, 
        config : BaseConfig, 
        defaults: Dict[str, Any] 


    ):
        defaults = config.__dict__

        super().__init__(params, defaults)
    
    



