code: def adam_optimizer(c: OptimizerConfigs):
      return torch.optim.Adam(
          c.parameters, lr=c.learning_rate, betas=c.betas, eps=c.eps
      )
  
file_path: labml/helpers/labml_helpers/optimizer.py
imports: from typing import Tuple
  import torch
  from labml import tracker
  from labml.configs import BaseConfigs, option, meta_config
label_desc: Use image node_id 2 for calling a global function with example usage: adam_optimizer(c) and returns: torch