code: def test(loader):
      model.eval()
  
      total_correct = total_examples = 0
      for idx in loader:
          xs = [data.x[idx].to(device)]
          xs += [data[f"x{i}"][idx].to(device) for i in range(1, K + 1)]
          y = data.y[idx].to(device)
  
          out = model(xs)
          total_correct += int((out.argmax(dim=-1) == y).sum())
          total_examples += idx.numel()
  
      return total_correct / total_examples
  
file_path: pytorch_geometric/examples/sign.py
imports: import os.path
  import torch
  import torch.nn.functional
  from torch.nn import Linear
  from torch.utils.data import DataLoader
  import torch_geometric.transforms
  from torch_geometric.datasets import Flickr
label_desc: Use image node_id 2 for calling a global function with example usage: test(loader) and returns: unknown