code: def test_smoke(self, device, dtype):
      input_tensor = tensor(
          [[[0, 1, 3], [25, 50, 63]]], device=device, dtype=dtype
      )
  
      expected_tensor = tensor(
          [
              [[1, 1, 1], [1, 1, 1]],
              [
                  [0, 0.01587301587301587, 0.04761904761904762],
                  [0.3968253968253968, 0.7936507936507936, 1],
              ],
              [[0, 0, 0], [0, 0, 0]],
          ],
          device=device,
          dtype=dtype,
      )
      cm = AUTUMN(device=device, dtype=dtype)
      actual = apply_colormap(input_tensor, cm)
  
      self.assert_close(actual, expected_tensor)
  
file_path: kornia/test/color/test_colormap.py
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  from kornia.color import AUTUMN, ApplyColorMap, apply_colormap
  from kornia.core import tensor
  from kornia.testing import BaseTester, assert_close, tensor_to_gradcheck_var
label_desc: Use image node_id 1 for calling the TestApplyColorMap obj's underlying member method code with example usage: obj.test_smoke(device, dtype) without return types