code: def test_cardinality(self, batch_shape, device, dtype):
      input_tensor = torch.rand(batch_shape, device=device, dtype=dtype)
      actual = kornia.color.sepia(input_tensor)
      assert actual.shape == batch_shape
  
file_path: kornia/test/color/test_sepia.py
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import BaseTester
label_desc: Use image node_id 3 for calling the TestSepia obj's underlying member method code with example usage: obj.test_cardinality(batch_shape, device, dtype) without return types