code: def test_raises(self):
      resnet = ResNetGenerator("resnet-18")
      model = BYOL(get_backbone(resnet))
      x0 = torch.rand((self.batch_size, 3, 64, 64))
  
      with self.assertRaises(ValueError):
          model(x0, None)
  
      with self.assertRaises(ValueError):
          model(None, x0)
  
      # test different input shape
      x1 = torch.rand((self.batch_size, 5, 32, 32))
      with self.assertRaises(ValueError):
          model(x0, x1)
  
file_path: lightly/tests/models/test_ModelsBYOL.py
imports: import unittest
  import torch
  import torch.nn
  import torchvision
  import lightly
  from lightly.models import BYOL, ResNetGenerator
label_desc: Use image node_id 7 for calling the TestModelsBYOL obj's underlying member method code with example usage: obj.test_raises() without return types