code: def test_separable(self, padding, device, dtype):
      batch_size = 3
      inp = torch.rand(3, 9, 9, device=device, dtype=dtype).expand(
          batch_size, -1, -1, -1
      )
      kernel_x = torch.ones(1, 3, device=device, dtype=dtype)
      kernel_y = torch.ones(1, 3, device=device, dtype=dtype)
      kernel = kernel_y.t() @ kernel_x
      out = filter2d(inp, kernel[None], padding=padding)
      out_sep = filter2d_separable(
          inp, kernel_x, kernel_y, padding=padding
      )
      self.assert_close(out, out_sep)
  
imports: import pytest
  import torch
  from kornia.filters import DexiNed, filter2d, filter2d_separable, filter3d
  from kornia.testing import BaseTester, assert_close, tensor_to_gradcheck_var
  from kornia.utils._compat import torch_version_le
label_desc: Use image node_id 11 for calling the TestFilter2D obj's underlying member method code with example usage: obj.test_separable(padding, device, dtype) without return types