code: def test(data):
      model.eval()
      z = model.encode(data.x, data.edge_index)
      return model.test(
          z, data.pos_edge_label_index, data.neg_edge_label_index
      )
  
imports: import argparse
  import os.path
  import time
  import torch
  import torch_geometric.transforms
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import GAE, VGAE, GCNConv
label_desc: Use image node_id 2 for calling a global function with example usage: test(data) and returns: model