code: def test_debug_data():
      torch_geometric.set_debug(True)
  
      Data()
      Data(
          edge_index=torch.zeros((2, 0), dtype=torch.long), num_nodes=10
      )
      Data(face=torch.zeros((3, 0), dtype=torch.long), num_nodes=10)
      Data(
          edge_index=torch.tensor([[0, 1], [1, 0]]),
          edge_attr=torch.randn(2),
      )
      Data(x=torch.torch.randn(5, 3), num_nodes=5)
      Data(pos=torch.torch.randn(5, 3), num_nodes=5)
      Data(norm=torch.torch.randn(5, 3), num_nodes=5)
  
      torch_geometric.set_debug(False)
  
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 9 for calling a global function with example usage: test_debug_data() without return types