code: def __init__(
      self,
      params,
      lr=1e-3,
      betas=(0.9, 0.999),
      eps=1e-8,
      weight_decay=0,
  ):
      defaults = dict(
          lr=lr,
          betas=betas,
          eps=eps,
          weight_decay=weight_decay,
          buffer=[[None, None, None] for _ in range(10)],
      )
      super(RAdam, self).__init__(params, defaults)
  
file_path: pytorch-image-models/timm/optim/radam.py
imports: import math
  import torch
  from torch.optim.optimizer import Optimizer
label_desc: Use image node_id 1 to create a new RAdam object from inherited base classes: Optimizer with example: obj = RAdam(params, lr, betas, eps, weight_decay)