code: def safe_set_local_fp32_param(param, value):
      """Update the partitioned fp32 parameter.
      Args:
          param (``torch.nn.Parameter``): A model parameter
          value (``torch.Tensor``): New value
      """
      # ZeRO stage 3 param
      if hasattr(param, "ds_id"):
          param._z3_optimizer.set_local_hp_param(value, param)
  
imports: import torch
  from dataclasses import dataclass
  from deepspeed import comm
  from typing import Dict
label_desc: Use image node_id 13 for calling a global function with example usage: safe_set_local_fp32_param(param, value) without return types