code: def test_unbind(self, device):
      x = torch.rand(2, 3, 4, 5)
      for dim in range(4):
          res = torch.unbind(x, dim)
          res2 = x.unbind(dim)
          self.assertEqual(x.size(dim), len(res))
          self.assertEqual(x.size(dim), len(res2))
          for i in range(dim):
              self.assertEqual(x.select(dim, i), res[i])
              self.assertEqual(x.select(dim, i), res2[i])
  
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 1 for calling the TestShapeOps obj's underlying member method code with example usage: obj.test_unbind(device) without return types