code: def test_sequence_net(wandb_init):
      pytest.importorskip("torch")
      run = wandb_init()
      net = Sequence()
      graph = wandb.watch(net, log_graph=True)[0]
      output = net.forward(dummy_torch_tensor((97, 100)))
      output.backward(torch.zeros((97, 100)))
      graph = graph._to_graph_json()
  
      assert len(graph["nodes"]) == 3
      assert len(graph["nodes"][0]["parameters"]) == 4
      assert graph["nodes"][0]["class_name"] == "LSTMCell(1, 51)"
      assert graph["nodes"][0]["name"] == "lstm1"
  
      run.finish()
  
imports: import pytest
  import wandb
label_desc: Use image node_id 6 for calling a global function with example usage: test_sequence_net(wandb_init) without return types