code: def special_model_setup(
      model_wrapper,
      optimizer_scheduler,
      fp16,
      fp16_opt_level,
      n_gpu,
      local_rank,
  ):
      model, optimizer = raw_special_model_setup(
          model=model_wrapper.model,
          optimizer=optimizer_scheduler.optimizer,
          fp16=fp16,
          fp16_opt_level=fp16_opt_level,
          n_gpu=n_gpu,
          local_rank=local_rank,
      )
      model_wrapper.model = model
      optimizer_scheduler.optimizer = optimizer
  
file_path: jiant/jiant/shared/model_setup.py
imports: import transformers
  import torch
  from jiant.ext.radam import RAdam
label_desc: Use image node_id 8 for calling a global function with example usage: special_model_setup(model_wrapper, optimizer_scheduler, fp16, fp16_opt_level, n_gpu, local_rank) without return types