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# Licensed under the Apache License, Version 2.0 (the "License");
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"""Dataclasses for optimization configs.

This file define the dataclass for optimization configs (OptimizationConfig).
It also has two helper functions get_optimizer_config, and get_lr_config from
an OptimizationConfig class.
"""
from typing import Optional

import dataclasses

from official.vision.beta.projects.yolo.optimization.configs import optimizer_config as opt_cfg
from official.modeling.optimization.configs import optimization_config as optimization_cfg


@dataclasses.dataclass
class OptimizerConfig(optimization_cfg.OptimizerConfig):
  """Configuration for optimizer.

  Attributes:
    type: 'str', type of optimizer to be used, on the of fields below.
    sgd: sgd optimizer config.
    adam: adam optimizer config.
    adamw: adam with weight decay.
    lamb: lamb optimizer.
    rmsprop: rmsprop optimizer.
  """
  type: Optional[str] = None
  sgd_torch: opt_cfg.SGDTorchConfig = opt_cfg.SGDTorchConfig()


@dataclasses.dataclass
class OptimizationConfig(optimization_cfg.OptimizationConfig):
  """Configuration for optimizer and learning rate schedule.

  Attributes:
    optimizer: optimizer oneof config.
    ema: optional exponential moving average optimizer config, if specified,
      ema optimizer will be used.
    learning_rate: learning rate oneof config.
    warmup: warmup oneof config.
  """
  type: Optional[str] = None
  optimizer: OptimizerConfig = OptimizerConfig()
