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)
          pred = out.max(dim=1)[1]
          total_correct += pred.eq(data.y).sum().item()
      return total_correct / len(loader.dataset)
  
file_path: pytorch_geometric/examples/jit/gin.py
imports: import os.path
  import torch
  import torch.nn.functional
  from torch.nn import BatchNorm1d
  from torch.nn import Linear, ReLU, Sequential
  from torch_geometric.datasets import TUDataset
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import GINConv, global_add_pool
  from torch_geometric.transforms import OneHotDegree
label_desc: Use image node_id 2 for calling a global function with example usage: test(loader) and returns: unknown