code: def test_dataparallel_params_none(model):
      device = torch.device("cuda:0")
      model = DataParallel(model)
      model.to(device=device)
  
      inputs = torch.rand(5, 2).to(device=device)
      outputs = model(inputs, params=None)
  
      assert outputs.shape == (5, 1)
      assert outputs.device == device
  
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 8 for calling a global function with example usage: test_dataparallel_params_none(model) without return types