code: def test(loader):
      model.eval()
  
      total_correct = 0
      for data in loader:
          data = data.to(device)
          out = model(
              data.x, data.edge_index, data.batch, data.batch_size
          )
          pred = out.argmax(dim=-1)
          total_correct += int((pred == data.y).sum())
      return total_correct / len(loader.dataset)
  
file_path: pytorch_geometric/examples/compile/gin.py
imports: import os.path
  import time
  import torch
  import torch.nn.functional
  import torch_geometric
  from torch_geometric.datasets import TUDataset
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import MLP, GINConv, global_add_pool
label_desc: Use image node_id 2 for calling a global function with example usage: test(loader) and returns: unknown