code: def test_static_gcn_conv():
      x = torch.randn(3, 4, 16)
      edge_index = torch.tensor(
          [[0, 0, 0, 1, 2, 3], [1, 2, 3, 0, 0, 0]]
      )
  
      conv = GCNConv(16, 32)
      out = conv(x, edge_index)
      assert out.size() == (3, 4, 32)
  
file_path: pytorch_geometric/test/nn/conv/test_gcn_conv.py
imports: import pytest
  import torch
  import torch_geometric.typing
  from torch_geometric.nn import GCNConv
  from torch_geometric.nn.conv.gcn_conv import gcn_norm
  from torch_geometric.testing import is_full_test
  from torch_geometric.typing import WITH_PT21, SparseTensor
  from torch_geometric.utils import to_torch_coo_tensor, to_torch_csc_tensor
label_desc: Use image node_id 4 for calling a global function with example usage: test_static_gcn_conv() without return types