code: def test_non_contiguous(self):
      d = 128
      index = faiss.IndexFlatL2(d)
  
      xb = torch.rand(d, 100).transpose(0, 1)
  
      with self.assertRaises(AssertionError):
          index.add(xb)
  
file_path: faiss/tests/torch_test_contrib.py
imports: import faiss
  import torch
  import unittest
  import numpy
  import faiss.contrib.torch_utils
label_desc: Use image node_id 10 for calling the TestTorchUtilsCPU obj's underlying member method code with example usage: obj.test_non_contiguous() without return types