code: def reset_ddp_model(
      model: torch.nn.parallel.DistributedDataParallel, ddp_params: Dict
  ):
      assert isinstance(
          model, torch.nn.parallel.DistributedDataParallel
      )
      module = model.module
      return torch.nn.parallel.DistributedDataParallel(
          module=module, **ddp_params
      )
  
imports: from typing import Dict
  import torch
  import torch.nn
label_desc: Use image node_id 2 for calling a global function with example usage: reset_ddp_model(model, ddp_params) and returns: torch