code: def _dict_to_device(params, device):
      return dict(
          (name, param.to(device=device))
          for (name, param) in params.items()
      )
  
file_path: pytorch-meta/torchmeta/tests/modules/test_parallel.py
imports: import pytest
  import torch
  import torch.nn
  from torchmeta.modules import MetaLinear, MetaSequential
  from torchmeta.modules import DataParallel
  from torchmeta.utils.gradient_based import gradient_update_parameters
label_desc: Use image node_id 5 for calling a global function with example usage: _dict_to_device(params, device) and returns: dict