docstr: Set depth to len(list(model.parameters())).
code: def __init__(
      self,
      params: Iterable[torch.nn.parameter.Parameter],
      gain: float = 1.0,
      depth: int = 16,
      **kwargs,
  ):
      """Set depth to len(list(model.parameters()))."""
  
      defaults = dict(gain=gain, depth=depth)
      super().__init__(params, defaults)
  
file_path: bert-ultrafast/training/cramming/backend/optimizers/agd.py
imports: import math
  import torch
  from torch.optim.optimizer import Optimizer
  import functools
  from typing import Iterable, Tuple
label_desc: Use image node_id 1 to create a new AGD object from inherited base classes: Optimizer with example: obj = AGD(params, gain, depth)