code: def test():
      model.eval()
      pred, accs = model(data.x, data.adj_t).argmax(dim=-1), []
      for _, mask in data("train_mask", "val_mask", "test_mask"):
          accs.append(
              int((pred[mask] == data.y[mask]).sum()) / int(mask.sum())
          )
      return accs
  
file_path: pytorch_geometric/examples/gcn2_cora.py
imports: import os.path
  import time
  import torch
  import torch.nn.functional
  from torch.nn import Linear
  import torch_geometric.transforms
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import GCN2Conv
label_desc: Use image node_id 2 for calling a global function with example usage: test() and returns: accs