code: def test_diagonal(self, device):
      x = torch.randn((100, 100), device=device)
      result = torch.diagonal(x)
      expected = torch.diag(x)
      self.assertEqual(result, expected)
  
      x = torch.randn((100, 100), device=device)
      result = torch.diagonal(x, 17)
      expected = torch.diag(x, 17)
      self.assertEqual(result, expected)
  
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 6 for calling the TestShapeOps obj's underlying member method code with example usage: obj.test_diagonal(device) without return types