code: def test_compile_conv(device, Conv):
      x = torch.randn(10, 16, device=device)
      edge_index = torch.randint(0, x.size(0), (2, 40), device=device)
  
      conv = Conv(16, 32).to(device)
      out = torch.compile(conv)(x, edge_index)
      assert torch.allclose(conv(x, edge_index), out, atol=1e-6)
  
file_path: pytorch_geometric/test/nn/test_compile_conv.py
imports: import pytest
  import torch
  from torch import Tensor
  from torch_geometric.nn import GCNConv, SAGEConv
  from torch_geometric.profile import benchmark
  from torch_geometric.testing import onlyFullTest, onlyLinux, withCUDA, withPackage
  from torch_geometric.utils import scatter
label_desc: Use image node_id 1 for calling a global function with example usage: test_compile_conv(device, Conv) without return types