code: def test_nonzero_no_warning(self, device):
      t = torch.randn((2, 2), device=device)
      with warnings.catch_warnings(record=True) as w:
          warnings.simplefilter("always")
          torch.nonzero(t)
          t.nonzero()
          self.assertEqual(len(w), 0)
  
imports: import torch
  import numpy
  from itertools import product, combinations, permutations, chain
  from functools import partial
  import random
  import warnings
  import unittest
  from torch import nan
  from torch.testing import make_tensor
  from torch.testing._internal.common_utils import TestCase, run_tests, skipIfTorchDynamo, torch_to_numpy_dtype_dict, IS_JETSON
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCPU, onlyCUDA, dtypes, onlyNativeDeviceTypes, dtypesIfCUDA, largeTensorTest
  from torch.testing._internal.common_dtype import all_types_and_complex_and, all_types, all_types_and
label_desc: Use image node_id 25 for calling the TestShapeOps obj's underlying member method code with example usage: obj.test_nonzero_no_warning(device) without return types