code: def post_backward_no_master_weights(self, scaler):
      stash = self._amp_stash
  
      self._amp_lazy_init()
  
      split_types = (
          (stash.all_fp16_params, stash.all_fp16_grad_stash),
          (stash.all_fp32_params, stash.all_fp32_grad_stash),
      )
  
      for params, stashed_grads in split_types:
          post_backward_models_are_masters(
              scaler, params, stashed_grads
          )
  
imports: import types
  from ..fp16_utils import master_params_to_model_params
  from ..multi_tensor_apply import multi_tensor_applier
  from ._amp_state import maybe_print
  import torch
  from ..optimizers import FusedSGD
label_desc: Use image node_id 8 for calling a global function with example usage: post_backward_no_master_weights(scaler) without return types