code: def test_static_dir_gnn_conv():
      x = torch.randn(3, 4, 16)
      edge_index = torch.tensor([[0, 1, 2], [1, 2, 3]])
  
      conv = DirGNNConv(SAGEConv(16, 32))
  
      out = conv(x, edge_index)
      assert out.size() == (3, 4, 32)
  
label_desc: Use image node_id 2 for calling a global function with example usage: test_static_dir_gnn_conv() without return types