code: def test_numpy_index(self, device):
      i = np.array([0, 1, 2], dtype=np.int32)
      x = torch.randn(5, 5)
      for idx in i:
          self.assertFalse(isinstance(idx, int))
          self.assertEqual(x[idx], x[int(idx)])
  
imports: import torch
  import numpy
  from itertools import product
  from torch.testing._internal.common_utils import skipIfTorchDynamo, TestCase, run_tests
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCPU, dtypes, skipMeta
  from torch.testing._internal.common_dtype import all_types_and_complex_and
label_desc: Use image node_id 10 for calling the TestNumPyInterop obj's underlying member method code with example usage: obj.test_numpy_index(device) without return types