class_docstr: <a id="OptimizerConfigs"></a>
  
  ## Optimizer Configurations
class_docstr_tok: ["<","a","id=","''","OptimizerConfigs","''",">","<","\/a",">","#","#","Optimizer","Configurations"]
code: def __init__(self):
      super().__init__(_primary="optimizer")
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/optimizers/configs.py
imports: from typing import Tuple
  import torch
  from labml.configs import BaseConfigs, option, meta_config
  from labml_nn.optimizers import WeightDecay
label_desc: Use image node_id 1 to create a new OptimizerConfigs object from inherited base classes: BaseConfigs with example: obj = OptimizerConfigs()