code: def test_smoke(self, device, dtype):
      num_classes = 4
      labels = torch.zeros(2, 2, 1, dtype=torch.int64, device=device)
      labels[0, 0, 0] = 0
      labels[0, 1, 0] = 1
      labels[1, 0, 0] = 2
      labels[1, 1, 0] = 3
  
      # convert labels to one hot tensor
      one_hot = kornia.utils.one_hot(labels, num_classes, device, dtype)
  
      assert_close(one_hot[0, labels[0, 0, 0], 0, 0].item(), 1.0)
      assert_close(one_hot[0, labels[0, 1, 0], 1, 0].item(), 1.0)
      assert_close(one_hot[1, labels[1, 0, 0], 0, 0].item(), 1.0)
      assert_close(one_hot[1, labels[1, 1, 0], 1, 0].item(), 1.0)
  
imports: import torch
  import kornia
  from kornia.testing import assert_close
label_desc: Use image node_id 1 for calling the TestOneHot obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types