code: def test():
      model.eval()
      correct = 0
  
      for data in test_loader:
          data = data.to(device)
          pred = model(data).max(1)[1]
          correct += pred.eq(data.y).sum().item()
      return correct / len(test_dataset)
  
file_path: pytorch_geometric/examples/mnist_voxel_grid.py
imports: import os.path
  import torch
  import torch.nn.functional
  import torch_geometric.transforms
  from torch_geometric.datasets import MNISTSuperpixels
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import SplineConv, max_pool, max_pool_x, voxel_grid
  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