code: def test_static_tag_conv():
      x = torch.randn(3, 4, 16)
      edge_index = torch.tensor(
          [[0, 0, 0, 1, 2, 3], [1, 2, 3, 0, 0, 0]]
      )
  
      conv = TAGConv(16, 32)
      out = conv(x, edge_index)
      assert out.size() == (3, 4, 32)
  
imports: import torch
  import torch_geometric.typing
  from torch_geometric.nn import TAGConv
  from torch_geometric.testing import is_full_test
  from torch_geometric.typing import SparseTensor
  from torch_geometric.utils import to_torch_csc_tensor
label_desc: Use image node_id 2 for calling a global function with example usage: test_static_tag_conv() without return types