code: def test():
      model.eval()
      correct = 0
  
      for data in test_loader:
          pred = model(data.to(device)).max(1)[1]
          correct += pred.eq(target).sum().item()
      return correct / (len(test_dataset) * d.num_nodes)
  
file_path: pytorch_geometric/examples/faust.py
imports: import os.path
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import FAUST
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import SplineConv
  from torch_geometric.typing import WITH_TORCH_SPLINE_CONV
label_desc: Use image node_id 2 for calling a global function with example usage: test() and returns: unknown