code: def test_data_share_memory():
      data_list = [Data(x=torch.zeros(8)) for _ in range(10)]
  
      for data in data_list:
          assert not data.x.is_shared()
          assert torch.all(data.x == 0.0)
  
      mp.spawn(run, args=(data_list,), nprocs=4, join=True)
  
      for data in data_list:
          assert data.x.is_shared()
          assert torch.all(data.x > 0.0)
  
imports: import copy
  import pytest
  import torch
  import torch.multiprocessing
  import torch_geometric
  from torch_geometric.data import Data
  from torch_geometric.data.storage import AttrType
  from torch_geometric.testing import get_random_tensor_frame, withPackage
label_desc: Use image node_id 11 for calling a global function with example usage: test_data_share_memory() without return types